Publications

@Article{amantea2020process, author = {Amantea, Ilaria Angela and Sulis, Emilio and Boella, Guido and Marinello, Renata and Bianca, Dario and Brunetti, Enrico and Bo, Mario and Fernandez-Llatas, Carlos},
journal = {Studies in health technology and informatics},
title = {A Process Mining Application for the Analysis of Hospital-at-Home Admissions.},
year = {2020},
pages = {522--526},
volume = {270},
}

@InCollection{valero2020interactive, author = {Valero-Ramon, Zoe and Fernandez-Llatas, Carlos and Martinez-Millana, Antonio and Traver, Vicente},
booktitle = {Advanced Computational Intelligence in Healthcare-7},
publisher = {Springer},
title = {Interactive Process Indicators for Obesity Modelling Using Process Mining},
year = {2020},
pages = {45--64},
}

@Article{martin2020recommendations, author = {Martin, Niels and De Weerdt, Jochen and Fern{\'a}ndez-Llatas, Carlos and Gal, Avigdor and Gatta, Roberto and Ib{\'a}{\~n}ez, Gema and Johnson, Owen and Mannhardt, Felix and Marco-Ruiz, Luis and Mertens, Steven and others},
journal = {Artificial Intelligence in Medicine},
title = {Recommendations for enhancing the usability and understandability of process mining in healthcare},
year = {2020},
pages = {101962},
publisher = {Elsevier},
url = {https://www.sciencedirect.com/science/article/pii/S0933365720312276},
}

@Book{IPMFernandezLlatas2020, author = {Carlos Fernandez-Llatas},
editor = {Carlos Fernandez-Llatas},
publisher = {Springer},
title = {Interactive Process Mining in HealthCare},
year = {2020},
isbn = {978-3-030-53992-4},
url = {https://www.springer.com/gp/book/9783030539924},
}

@InProceedings{martinez2020discovering, author = {Martinez-Millana, A and Arsand, E and Traver, V and Fernandez-Llatas, C and Hartvigsen, G},
booktitle = {DIABETES TECHNOLOGY \& THERAPEUTICS},
title = {DISCOVERING BLOOD GLUCOSE REGULATION PROCESSES WITH PROCESS MINING},
year = {2020},
organization = {MARY ANN LIEBERT, INC 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA},
pages = {A112--A112},
volume = {22},
}

@InProceedings{valero2020dynamic, author = {Valero-Ramon, Z and Martinez-Millana, A and Traver, V and Fernandez-Llatas, C},
booktitle = {DIABETES TECHNOLOGY \& THERAPEUTICS},
title = {DYNAMIC RISK MODELS SUPPORTING PERSONALISED DIABETES HEALTHCARE WITH PROCESS MINING},
year = {2020},
organization = {MARY ANN LIEBERT, INC 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA},
pages = {A112--A112},
volume = {22},
}

@Article{dogan2020segmentation, author = {Dogan, Onur and Oztaysi, Basar and Fernandez-Llatas, Carlos},
title = {Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization},
journal = {Journal of Intelligent \& Fuzzy Systems},
year = {2020},
volume = {38},
number = {1},
pages = {675--684},
publisher = {IOS Press},
}

@Article{gatta2020role, author = {Gatta, Roberto and Vallati, Mauro and Fernandez-Llatas, Carlos and Martinez-Millana, Antonio and Orini, Stefania and Sacchi, Lucia and Lenkowicz, Jacopo and Marcos, Mar and Munoz-Gama, Jorge and Cuendet, Michel A and others},
journal = {International Journal of Environmental Research and Public Health},
title = {What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper},
year = {2020},
number = {18},
pages = {6616},
volume = {17},
publisher = {Multidisciplinary Digital Publishing Institute},
url = {https://www.mdpi.com/1660-4601/17/18/6616},
}

@Article{valero2020dynamic, author = {Valero-Ramon, Zoe and Fernandez-Llatas, Carlos and Valdivieso, Bernardo and Traver, Vicente},
journal = {Sensors},
title = {Dynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining},
year = {2020},
number = {18},
pages = {5330},
volume = {20},
publisher = {Multidisciplinary Digital Publishing Institute},
url = {https://www.mdpi.com/1424-8220/20/18/5330},
}

@InProceedings{gatta2019clinical, author = {Gatta, Roberto and Vallati, Mauro and Fernandez-Llatas, Carlos and Martinez-Millana, Antonio and Orini, Stefania and Sacchi, Lucia and Lenkowicz, Jacopo and Marcos, Mar and Munoz-Gama, Jorge and Cuendet, Michel and others},
title = {Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare},
booktitle = {International Conference on Business Process Management},
year = {2019},
pages = {545--556},
organization = {Springer, Cham},
}

@InProceedings{martin2019interactive, author = {Martin, Niels and Martinez-Millana, Antonio and Valdivieso, Bernardo and Fern{\'a}ndez-Llatas, Carlos},
title = {Interactive Data Cleaning for Process Mining: A Case Study of an Outpatient Clinic?s Appointment System},
booktitle = {International Conference on Business Process Management},
year = {2019},
pages = {532--544},
organization = {Springer, Cham},
}

@InProceedings{martinez2019evaluation, author = {Martinez-Millana, Antonio and Valero-Ramon, Zoe and Fernandez-Llatas, Carlos and Garcia-Segovia, Purificacion and Salcedo, Vicente Traver},
title = {Evaluation of an App Based Questionnaire for the Nutritional Assessment in Elderly Housing},
booktitle = {2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)},
year = {2019},
pages = {245--248},
organization = {IEEE},
}

@InProceedings{martinez2019comparing, author = {Martinez-Millana, Carlos and Martinez-Millana, Antonio and Fernandez-Llatas, Carlos and Martinez, Bernardo Valdivieso and Salcedo, Vicente Traver},
title = {Comparing Data Base Engines for Building Big Data Analytics in Obesity Detection},
booktitle = {2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)},
year = {2019},
pages = {208--211},
organization = {IEEE},
}

@InProceedings{montandon2019crowdhealth, author = {Montandon, Lydia and Kyriazis, Dimosthenis and Valero-Ramon, Zoe and Fernandez-Llatas, Carlos and Traver, Vicente},
title = {CrowdHEALTH-Collective Wisdom Driving Public Health Policies},
booktitle = {2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)},
year = {2019},
pages = {1--3},
organization = {IEEE},
}

@InProceedings{pebesma2019clustering, author = {Pebesma, Joyce and Martinez-Millana, Antonio and Sacchi, Lucia and Fernandez-Llatas, Carlos and De Cata, Pasquale and Chiovato, Luca and Bellazzi, Riccardo and Traver, Vicente},
title = {Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining},
booktitle = {2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
year = {2019},
pages = {341--344},
organization = {IEEE},
}

@InProceedings{valero2019dynamic, author = {Valero-Ramon, Zoe and Fernandez-Llatas, Carlos and Martinez-Millana, Antonio and Traver, Vicente},
title = {A Dynamic Behavioral Approach to Nutritional Assessment using Process Mining},
booktitle = {2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)},
year = {2019},
pages = {398--404},
organization = {IEEE},
}

@Article{ibanez2019process, author = {IBANEZ-SANCHEZ, Gema and VALERO-RAMON, Zoe and TRAVER, Vicente and FERNANDEZ-LLATAS, Carlos},
title = {Process Choreography for Designing and Automate Individualized Prevention Protocols in Occupational Medicine},
journal = {Transforming Ergonomics with Personalized Health and Intelligent Workplaces},
year = {2019},
volume = {25},
pages = {101},
publisher = {IOS Press},
}

@Article{valero2019towards, author = {VALERO-RAMON, Zoe and IBANEZ-SANCHEZ, Gema and TRAVER, Vicente and MARCO-RUIZ, Luis and FERNANDEZ-LLATAS, Carlos},
title = {Towards Perceptual Spaces for Empowering Ergonomy in Workplaces by Using Interactive Process Mining},
journal = {Transforming Ergonomics with Personalized Health and Intelligent Workplaces},
year = {2019},
volume = {25},
pages = {85},
publisher = {IOS Press},
}

@Article{ibanez2019, author = {Ibanez-Sanchez, Gema and Fernandez-Llatas, Carlos and Celda, Angeles and Mandingorra, Jesus and Aparici-Tortajada, Lucia and Martinez-Millana, Antonio and Munoz-Gama, Jorge and Sep{\'u}lveda, Marcos and Rojas, Eric and G{\'a}lvez, V{\'i}ctor and Capurro, Daniel and Traver, Vicente},
title = {Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case},
journal = {International Journal of Environmental Research and Public Health},
year = {2019},
volume = {16},
number = {10},
issn = {1660-4601},
article-number = {1783},
doi = {10.3390/ijerph16101783},
url = {https://www.mdpi.com/1660-4601/16/10/1783},
}

Medical emergencies are one of the most critical processes that occurs in a hospital. The creation of adequate and timely triage protocols, can make the difference between the life and death of the patient. One of the most critical emergency care protocols is the stroke case. This disease demands an accurate and quick diagnosis for ensuring an immediate treatment in order to limit or even, avoid, the undesired cognitive decline. The aim of this paper is perform an analysis of how Process Mining techniques can support health professionals in the interactive analysis of emergency processes considering critical timing of Stroke, using a Question Driven methodology. To demonstrate the possibilities of Process Mining in the characterization of the emergency process, we have used a real log with 9046 emergency episodes from 2145 stroke patients that occurred from January of 2010 to June of 2017. Our results demonstrate how Process Mining technology can highlight the differences of the stroke patient flow in emergency, supporting professionals in the better understanding and improvement of quality of care.

@InProceedings{10.1007/978-3-030-11641-5_17, author = {Fernandez-Llatas, Carlos and Ibanez-Sanchez, Gema and Celda, Angeles and Mandingorra, Jesus and Aparici-Tortajada, Lucia and Martinez-Millana, Antonio and Munoz-Gama, Jorge and Sep{\'u}lveda, Marcos and Rojas, Eric and G{\'a}lvez, V{\'i}ctor and Capurro, Daniel and Traver, Vicente},
title = {Analyzing Medical Emergency Processes with Process Mining: The Stroke Case},
booktitle = {Business Process Management Workshops},
year = {2019},
editor = {Daniel, Florian and Sheng, Quan Z. and Motahari, Hamid},
pages = {214--225},
address = {Cham},
publisher = {Springer International Publishing},
abstract = {Medical emergencies are one of the most critical processes that occurs in a hospital. The creation of adequate and timely triage protocols, can make the difference between the life and death of the patient. One of the most critical emergency care protocols is the stroke case. This disease demands an accurate and quick diagnosis for ensuring an immediate treatment in order to limit or even, avoid, the undesired cognitive decline. The aim of this paper is perform an analysis of how Process Mining techniques can support health professionals in the interactive analysis of emergency processes considering critical timing of Stroke, using a Question Driven methodology. To demonstrate the possibilities of Process Mining in the characterization of the emergency process, we have used a real log with 9046 emergency episodes from 2145 stroke patients that occurred from January of 2010 to June of 2017. Our results demonstrate how Process Mining technology can highlight the differences of the stroke patient flow in emergency, supporting professionals in the better understanding and improvement of quality of care.},
isbn = {978-3-030-11641-5},
}

The wide-spread adoption of real-time location system is boosting the development of software applications to track persons and assets on real-time and perform analytics. Among the vast amount of data analysis techniques, process mining allows to conform work-flows with heterogeneous multivariate data, enhancing the model understandability and usefulness in clinical environments. However, such applications still find entrance barriers in the clinical context. In this paper we have identified the preferred features of a process mining based dashboard deployed in the operating rooms of a hospital equipped with a real-time location system. Work-flows are inferred and enhanced using process discovery on location data of patients undergoing an intervention, drawing nodes (states in the process) and transitions across the entire process. Analytic Hierarchy Process has been applied to quantify the prioritization of the features contained in the process mining dashboard (filtering data, enhancement, node selection, statistics, etc..), distinguishing on the priorities that each of the different roles in the operating room service assigned to each feature. The staff in the operating rooms (N=10) was classified into three groups: Technical, Clinical and Managerial staff according to their responsibilities. Results show different weights for the features in the process mining dashboard for each group, suggesting that a flexible process mining dashboard is needed to boost its potential in the management of clinical interventions in operating rooms.

@InProceedings{10.1007/978-3-030-11641-5_12, author = {Martinez-Millana, Antonio and Lizondo, Aroa and Gatta, Roberto and Traver, Vicente and Fernandez-Llatas, Carlos},
title = {Expectations from a Process Mining Dashboard in Operating Rooms with Analytic Hierarchy Process},
booktitle = {Business Process Management Workshops},
year = {2019},
editor = {Daniel, Florian and Sheng, Quan Z. and Motahari, Hamid},
pages = {151--162},
address = {Cham},
publisher = {Springer International Publishing},
abstract = {The wide-spread adoption of real-time location system is boosting the development of software applications to track persons and assets on real-time and perform analytics. Among the vast amount of data analysis techniques, process mining allows to conform work-flows with heterogeneous multivariate data, enhancing the model understandability and usefulness in clinical environments. However, such applications still find entrance barriers in the clinical context. In this paper we have identified the preferred features of a process mining based dashboard deployed in the operating rooms of a hospital equipped with a real-time location system. Work-flows are inferred and enhanced using process discovery on location data of patients undergoing an intervention, drawing nodes (states in the process) and transitions across the entire process. Analytic Hierarchy Process has been applied to quantify the prioritization of the features contained in the process mining dashboard (filtering data, enhancement, node selection, statistics, etc..), distinguishing on the priorities that each of the different roles in the operating room service assigned to each feature. The staff in the operating rooms (N=10) was classified into three groups: Technical, Clinical and Managerial staff according to their responsibilities. Results show different weights for the features in the process mining dashboard for each group, suggesting that a flexible process mining dashboard is needed to boost its potential in the management of clinical interventions in operating rooms.},
isbn = {978-3-030-11641-5},
}

The study presents some results of customer paths’ analysis in a shopping mall. Bluetooth-based technology is used to collect data. The event log containing spatiotemporal information is analyzed with process mining. Process mining is a technique that enables one to see the whole process contrary to data-centric methods. The use of process mining can provide a readily-understandable view of the customer paths. We installed iBeacon devices, a Bluetooth-based positioning system, in the shopping mall. During December 2017 and January and February 2018, close to 8000 customer data were captured. We aim to investigate customer behaviors regarding gender by using their paths. We can determine the gender of customers if they go to the men’s bathroom or women’s bathroom. Since the study has a comprehensive scope, we focused on male and female customers’ behaviors. This study shows that male and female customers have different behaviors. Their duration and paths, in general, are not similar. In addition, the study shows that the process mining technique is a viable way to analyze customer behavior using Bluetooth-based technology.

@Article{s19030557, author = {Dogan, Onur and Bayo-Monton, Jose-Luis and Fernandez-Llatas, Carlos and Oztaysi, Basar},
title = {Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application},
journal = {Sensors},
year = {2019},
volume = {19},
number = {3},
issn = {1424-8220},
abstract = {The study presents some results of customer paths’ analysis in a shopping mall. Bluetooth-based technology is used to collect data. The event log containing spatiotemporal information is analyzed with process mining. Process mining is a technique that enables one to see the whole process contrary to data-centric methods. The use of process mining can provide a readily-understandable view of the customer paths. We installed iBeacon devices, a Bluetooth-based positioning system, in the shopping mall. During December 2017 and January and February 2018, close to 8000 customer data were captured. We aim to investigate customer behaviors regarding gender by using their paths. We can determine the gender of customers if they go to the men’s bathroom or women’s bathroom. Since the study has a comprehensive scope, we focused on male and female customers’ behaviors. This study shows that male and female customers have different behaviors. Their duration and paths, in general, are not similar. In addition, the study shows that the process mining technique is a viable way to analyze customer behavior using Bluetooth-based technology.},
article-number = {557},
doi = {10.3390/s19030557},
url = {http://www.mdpi.com/1424-8220/19/3/557},
}

Digital Library

@InProceedings{Martinez-Millana2019a, author = {Martinez-Millana, Antonio and Martinez-Romero, Alvaro and Henriques, Jorge and Bianchi, Anna Maria and Fernandez-Llatas, Carlos and Traver, Vicente and Couceiro, Ricardo and Carvalho, Paulo de},
booktitle = {ScitePress Digital Library},
title = {Research {Tracks} for {Intelligent} {Processing} to {Support} {Cardiovascular} {Disease} {Management} in {Personalized} {Healthcare} - {Results} from {LiNK} {Project}},
year = {2019},
month = sep, pages = {56--69},
abstract = {Digital Library},
file = {Snapshot:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\BDJIE7UX\\PublicationsDetail.html:text/html},
groups = {carferll:6},
isbn = {978-989-758-361-2},
url = {https://www.scitepress.org/PublicationsDetail.aspx?ID=8u1xR+epQBY=&t=1},
urldate = {2019-09-24},
}

Indoor customers may have different purposes to visit a shopping mall. Understanding the visiting aims results in better customer relationship management. One of the ways to explain the customer purpose is to discover customer paths. Customers mainly visit stores related to their purposes. The main problem is to discover customer paths from paths. Since customers have changeable mood and there are many stores in a shopping mall, customer paths are generally too complex to evaluate. To overcome that problem, we use process mining technique. Process mining is a technique that has some algorithms to discover business processes from event logs in the databases. In this study, we consider the visited stores as an activity in a process. PALIA Suite, a process mining tool that includes several clustering methods for processes, is used to discover and cluster indoor customer paths to evaluate differences among the visits.

@InProceedings{Dogan2020, author = {Dogan, Onur and Fernandez-Llatas, Carlos and Oztaysi, Basar},
title = {Process {Mining} {Application} for Analysis of Customer's Different Visits in a Shopping Mall},
booktitle = {Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making},
year = {2019},
editor = {Kahraman, Cengiz and Cebi, Selcuk and Cevik Onar, Sezi and Oztaysi, Basar and Tolga, A. Cagri and Sari, Irem Ucal},
series = {Advances in Intelligent Systems and Computing},
pages = {151--159},
publisher = {Springer International Publishing},
abstract = {Indoor customers may have different purposes to visit a shopping mall. Understanding the visiting aims results in better customer relationship management. One of the ways to explain the customer purpose is to discover customer paths. Customers mainly visit stores related to their purposes. The main problem is to discover customer paths from paths. Since customers have changeable mood and there are many stores in a shopping mall, customer paths are generally too complex to evaluate. To overcome that problem, we use process mining technique. Process mining is a technique that has some algorithms to discover business processes from event logs in the databases. In this study, we consider the visited stores as an activity in a process. PALIA Suite, a process mining tool that includes several clustering methods for processes, is used to discover and cluster indoor customer paths to evaluate differences among the visits.},
file = {Springer Full Text PDF:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\383EP6WZ\\Dogan et al. - 2020 - Process Mining Application for Analysis of Custome.pdf:application/pdf},
isbn = {978-3-030-23756-1},
keywords = {Customer path, PALIA suite, process mining, Shopping mall, Visits},
language = {en},
}

Process mining is gaining significant importance in the healthcare domain, where the quality of services depends on the suitable and efficient execution of processes. A pivotal challenge for the application of process mining in the healthcare domain comes from the growing importance of multi-centric studies, where privacy-preserving techniques are strongly needed.In this paper, building on top of the well-known Alpha algorithm, we introduce a distributed process mining approach, that allows to overcome problems related to privacy and data being spread around. The introduced technique allows to perform process mining without sharing any patients-related information, thus ensuring privacy and maximizing the possibility of cooperation among hospitals.

@InProceedings{Gatta2019, author = {Gatta, Roberto and Vallati, Mauro and Lenkowicz, Jacopo and Masciocchi, Carlotta and Cellini, Francesco and Boldrini, Luca and Fernandez Llatas, Carlos and Valentini, Vincenzo and Damiani, Andrea},
booktitle = {Computational {Science} {ICCS} 2019},
title = {On the Feasibility of {Distributed} {Process} {Mining} in {Healthcare}},
year = {2019},
editor = {Rodrigues, Jo?o M. F. and Cardoso, Pedro J. S. and Monteiro, Junio and Lam, Roberto and Krzhizhanovskaya, Valeria V. and Lees, Michael H. and Dongarra, Jack J. and Sloot, Peter M.A.},
pages = {445--452},
publisher = {Springer International Publishing},
series = {Lecture {Notes} in {Computer} {Science}},
abstract = {Process mining is gaining significant importance in the healthcare domain, where the quality of services depends on the suitable and efficient execution of processes. A pivotal challenge for the application of process mining in the healthcare domain comes from the growing importance of multi-centric studies, where privacy-preserving techniques are strongly needed.In this paper, building on top of the well-known Alpha algorithm, we introduce a distributed process mining approach, that allows to overcome problems related to privacy and data being spread around. The introduced technique allows to perform process mining without sharing any patients-related information, thus ensuring privacy and maximizing the possibility of cooperation among hospitals.},
file = {Springer Full Text PDF:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\DGPUBMTS\\Gatta et al. - 2019 - On the Feasibility of Distributed Process Mining i.pdf:application/pdf},
groups = {[carferll:]},
isbn = {978-3-030-22750-0},
keywords = {Distributed learning, Healthcare, process mining},
language = {en},
}

Understanding human behavior can assist in the adoption of satisfactory health interventions and improved care. One of the main problems relies on the definition of human behaviors, as human activities depend on multiple variables and are of dynamic nature. Although smart homes have advanced in the latest years and contributed to unobtrusive human behavior tracking, artificial intelligence has not coped yet with the problem of variability and dynamism of these behaviors. Process mining is an emerging discipline capable of adapting to the nature of high-variate data and extract knowledge to define behavior patterns. In this study, we analyze data from 25 in-house residents acquired with indoor location sensors by means of process mining clustering techniques, which allows obtaining workflows of the human behavior inside the house. Data are clustered by adjusting two variables: the similarity index and the Euclidean distance between workflows. Thereafter, two main models are created: (1) a workflow view to analyze the characteristics of the discovered clusters and the information they reveal about human behavior and (2) a calendar view, in which common behaviors are rendered in the way of a calendar allowing to detect relevant patterns depending on the day of the week and the season of the year. Three representative patients who performed three different behaviors: stable, unstable, and complex behaviors according to the proposed approach are investigated. This approach provides human behavior details in the manner of a workflow model, discovering user paths, frequent transitions between rooms, and the time the user was in each room, in addition to showing the results into the calendar view increases readability and visual attraction of human behaviors, allowing to us detect patterns happening on special days.

@Article{Dogan2019, author = {Dogan, Onur and Martinez-Millana, Antonio and Rojas, Eric and Sep?lveda, Marcos and Munoz-Gama, Jorge and Traver, Vicente and Fernandez-Llatas, Carlos},
title = {Individual Behavior Modeling with Sensors Using Process Mining},
journal = {Electronics},
year = {2019},
volume = {8},
number = {7},
pages = {766},
month = jul, abstract = {Understanding human behavior can assist in the adoption of satisfactory health interventions and improved care. One of the main problems relies on the definition of human behaviors, as human activities depend on multiple variables and are of dynamic nature. Although smart homes have advanced in the latest years and contributed to unobtrusive human behavior tracking, artificial intelligence has not coped yet with the problem of variability and dynamism of these behaviors. Process mining is an emerging discipline capable of adapting to the nature of high-variate data and extract knowledge to define behavior patterns. In this study, we analyze data from 25 in-house residents acquired with indoor location sensors by means of process mining clustering techniques, which allows obtaining workflows of the human behavior inside the house. Data are clustered by adjusting two variables: the similarity index and the Euclidean distance between workflows. Thereafter, two main models are created: (1) a workflow view to analyze the characteristics of the discovered clusters and the information they reveal about human behavior and (2) a calendar view, in which common behaviors are rendered in the way of a calendar allowing to detect relevant patterns depending on the day of the week and the season of the year. Three representative patients who performed three different behaviors: stable, unstable, and complex behaviors according to the proposed approach are investigated. This approach provides human behavior details in the manner of a workflow model, discovering user paths, frequent transitions between rooms, and the time the user was in each room, in addition to showing the results into the calendar view increases readability and visual attraction of human behaviors, allowing to us detect patterns happening on special days.},
copyright = {http://creativecommons.org/licenses/by/3.0/},
doi = {10.3390/electronics8070766},
file = {Full Text PDF:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\NPZPJ2JW\\Dogan et al. - 2019 - Individual Behavior Modeling with Sensors Using Pr.pdf:application/pdf;Snapshot:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\9P4C2W9N\\766.html:text/html},
keywords = {behavior models, indoor location system, process mining, Sensors, smart homes},
language = {en},
url = {https://www.mdpi.com/2079-9292/8/7/766},
urldate = {2019-07-19},
}

The widespread adoption of real-time location systems is boosting the development of software applications to track persons and assets in hospitals. Among the vast amount of applications, real-time location systems in operating rooms have the advantage of grounding advanced data analysis techniques to improve surgical processes, such as process mining. However, such applications still find entrance barriers in the clinical context. In this paper, we aim to evaluate the preferred features of a process mining-based dashboard deployed in the operating rooms of a hospital equipped with a real-time location system. The dashboard allows to discover and enhance flows of patients based on the location data of patients undergoing an intervention. Analytic hierarchy process was applied to quantify the prioritization of the dashboard features (filtering data, enhancement, node selection, statistics, etc.), distinguishing the priorities that each of the different roles in the operating room service assigned to each feature. The staff in the operating rooms (n = 10) was classified into three groups: Technical, clinical, and managerial staff according to their responsibilities. Results showed different weights for the features in the process mining dashboard for each group, suggesting that a flexible process mining dashboard is needed to boost its potential in the management of clinical interventions in operating rooms. This paper is an extension of a communication presented in the Process-Oriented Data Science for Health Workshop in the Business Process Management Conference 2018.

@Article{Martinez-Millana2019, author = {Martinez-Millana, Antonio and Lizondo, Aroa and Gatta, Roberto and Vera, Salvador and Salcedo, Vicente Traver and Fernandez-Llatas, Carlos},
title = {Process {Mining} {Dashboard} in {Operating} {Rooms}: {Analysis} of {Staff} {Expectations} with {Analytic} {Hierarchy} {Process}},
journal = {International Journal of Environmental Research and Public Health},
year = {2019},
volume = {16},
number = {2},
pages = {199},
month = jan, abstract = {The widespread adoption of real-time location systems is boosting the development of software applications to track persons and assets in hospitals. Among the vast amount of applications, real-time location systems in operating rooms have the advantage of grounding advanced data analysis techniques to improve surgical processes, such as process mining. However, such applications still find entrance barriers in the clinical context. In this paper, we aim to evaluate the preferred features of a process mining-based dashboard deployed in the operating rooms of a hospital equipped with a real-time location system. The dashboard allows to discover and enhance flows of patients based on the location data of patients undergoing an intervention. Analytic hierarchy process was applied to quantify the prioritization of the dashboard features (filtering data, enhancement, node selection, statistics, etc.), distinguishing the priorities that each of the different roles in the operating room service assigned to each feature. The staff in the operating rooms (n = 10) was classified into three groups: Technical, clinical, and managerial staff according to their responsibilities. Results showed different weights for the features in the process mining dashboard for each group, suggesting that a flexible process mining dashboard is needed to boost its potential in the management of clinical interventions in operating rooms. This paper is an extension of a communication presented in the Process-Oriented Data Science for Health Workshop in the Business Process Management Conference 2018.},
copyright = {http://creativecommons.org/licenses/by/3.0/},
doi = {10.3390/ijerph16020199},
file = {Full Text PDF:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\6A78VC5K\\Martinez-Millana et al. - 2019 - Process Mining Dashboard in Operating Rooms Analy.pdf:application/pdf;Snapshot:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\J2PC24S2\\199.html:text/html},
keywords = {analytic hierarchy process, co-design, operating rooms, process mining, Software, usability},
language = {en},
shorttitle = {Process {Mining} {Dashboard} in {Operating} {Rooms}},
url = {https://www.mdpi.com/1660-4601/16/2/199},
urldate = {2019-01-11},
}

@InProceedings{Fernandez-Llatas2018, author = {Carlos Fernandez-Llatas and Vicente Traver and Salvador Vera and Eduardo Monton and Jordi Rovira},
title = {Applying Value-Based Healthcare in Hospital Management with Process Mining and Real Time Location Systems},
booktitle = {Proceedings of the Workshop on Process Oriented Data Science for Healthcare (In conjunction with BPM18)},
year = {2018},
doi = {10.3233/978-1-61499-874-7-346},
url = {http://ebooks.iospress.nl/volumearticle/49380},
}

@Article{martinez2017integration, author = {Martinez-Millana, Antonio and Bayo-Monton, Jose-Luis and Argente-Pla, Mar{\'\i}a and Fernandez-Llatas, Carlos and Merino-Torres, Juan Francisco and Traver-Salcedo, Vicente},
title = {Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes},
journal = {Sensors},
year = {2018},
volume = {18},
number = {1},
pages = {79},
publisher = {Multidisciplinary Digital Publishing Institute},
}

@Article{Bayo2018, author = {Bayo-Monton, Jose-Luis and Martinez-Millana, Antonio and Han, Weisi and Fernandez-Llatas, Carlos and Sun, Yan and Traver, Vicente},
title = {Wearable Sensors Integrated with Internet of Things for Advancing eHealth Care},
journal = {Sensors},
year = {2018},
volume = {18},
number = {6},
issn = {1424-8220},
doi = {10.3390/s18061851},
url = {http://www.mdpi.com/1424-8220/18/6/1851},
}

@Article{conca2018multidisciplinary, author = {Conca, Tania and Saint-Pierre, Cecilia and Herskovic, Valeria and Sep{\'u}lveda, Marcos and Capurro, Daniel and Prieto, Florencia and Fernandez-Llatas, Carlos},
title = {Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining},
journal = {Journal of medical Internet research},
year = {2018},
volume = {20},
number = {4},
doi = {10.2196/jmir.8884},
publisher = {JMIR Publications Inc.},
url = {https://www.jmir.org/2018/4/e127/},
}

@InProceedings{DBLP:conf/embc/Martinez-Millana18, author = {Antonio Martinez{-}Millana and Carmen Palao and Carlos Fernandez-Llatas and Paulo de Carvalho and Anna M. Bianchi and Vicente Traver},
title = {Integrated IoT intelligent system for the automatic detection of cardiac variability},
booktitle = {40th Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society, {EMBC} 2018, Honolulu, HI, USA, July 18-21, 2018},
year = {2018},
pages = {5798--5801},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/embc/Martinez-Millana18},
crossref = {DBLP:conf/embc/2018},
doi = {10.1109/EMBC.2018.8513638},
timestamp = {Mon, 05 Nov 2018 11:12:21 +0100},
url = {https://doi.org/10.1109/EMBC.2018.8513638},
}

@InProceedings{DBLP:conf/intenv/Fernandez-Llatas18, author = {Carlos Fern{\'{a}}ndez{-}Llatas and Gema Iba{\~{n}}ez{-}S{\'{a}}nchez and Vicente Traver and Fernando Seoane},
title = {Empowering Ergonomy in Workplaces by Individual Behavior Modeling Using Interactive Process Mining Paradigm},
booktitle = {Intelligent Environments 2018 - Workshop Proceedings of the 14th International Conference on Intelligent Environments, Rome, Italy, 25-28 June 2018},
year = {2018},
pages = {346--354},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/intenv/Fernandez-Llatas18},
crossref = {DBLP:conf/intenv/2018w},
doi = {10.3233/978-1-61499-874-7-346},
timestamp = {Sat, 21 Jul 2018 18:52:21 +0200},
url = {https://doi.org/10.3233/978-1-61499-874-7-346},
}

Background: Research in type 1 diabetes management has increased exponentially since the irruption of mobile health apps for its remote and self-management. Despite this fact, the features affect in the disease management and patient empowerment are adopted by app makers and provided to the general population remain unexplored. Objective: To study the gap between literature and available apps for type 1 diabetes self-management and patient empowerment and to discover the features that an ideal app should provide to people with diabetes. Methods: The methodology comprises systematic reviews in the scientific literature and app marketplaces. We included articles describing interventions that demonstrated an effect on diabetes management with particular clinical endpoints through the use of mobile technologies. The features of these apps were gathered in a taxonomy of what an ideal app should look like to then assess which of these features are available in the market. Results: The literature search resulted in 231 matches. Of these, 55 met the inclusion criteria. A taxonomy featuring 3 levels of characteristics was designed based on 5 papers which were selected for the synthesis. Level 1 includes 10 general features (Personalization, Family support, Agenda, Data record, Insulin bolus calculator, Data management, Interaction, Tips and support, Reminders, and Rewards) Level 2 and Level 3 included features providing a descriptive detail of Level 1 features. Eighty apps matching the inclusion criteria were analyzed. None of the assessed apps fulfilled the features of the taxonomy of an ideal app. Personalization (70/80, 87.5{%}) and Data record (64/80, 80.0{%}) were the 2 top prevalent features, whereas Agenda (5/80, 6.3{%}) and Rewards (3/80, 3.8{%}) where the less predominant. The operating system was not associated with the number of features (P=.42, F=.81) nor the type of feature (P=.20, $\chi$2=11.7). Apps were classified according to the number of level 1 features and sorted into quartiles. First quartile apps had a regular distribution of the ten features in the taxonomy whereas the other 3 quartiles had an irregular distribution. Conclusions: There are significant gaps between research and the market in mobile health for type 1 diabetes management. While the literature focuses on aspects related to gamification, rewarding, and social communities, the available apps are focused on disease management aspects such as data record and appointments. Personalized and tailored empowerment features should be included in commercial apps for large-scale assessment of potential in the self-management of the disease.

@Article{info:doi/10.2196/12237, author = {Martinez-Millana, Antonio and Jarones, Elena and Fernandez-Llatas, Carlos and Hartvigsen, Gunnar and Traver, Vicente},
journal = {JMIR Mhealth Uhealth},
title = {App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison},
year = {2018},
issn = {2291-5222},
month = {Nov},
number = {11},
pages = {e12237},
volume = {6},
abstract = {Background: Research in type 1 diabetes management has increased exponentially since the irruption of mobile health apps for its remote and self-management. Despite this fact, the features affect in the disease management and patient empowerment are adopted by app makers and provided to the general population remain unexplored. Objective: To study the gap between literature and available apps for type 1 diabetes self-management and patient empowerment and to discover the features that an ideal app should provide to people with diabetes. Methods: The methodology comprises systematic reviews in the scientific literature and app marketplaces. We included articles describing interventions that demonstrated an effect on diabetes management with particular clinical endpoints through the use of mobile technologies. The features of these apps were gathered in a taxonomy of what an ideal app should look like to then assess which of these features are available in the market. Results: The literature search resulted in 231 matches. Of these, 55 met the inclusion criteria. A taxonomy featuring 3 levels of characteristics was designed based on 5 papers which were selected for the synthesis. Level 1 includes 10 general features (Personalization, Family support, Agenda, Data record, Insulin bolus calculator, Data management, Interaction, Tips and support, Reminders, and Rewards) Level 2 and Level 3 included features providing a descriptive detail of Level 1 features. Eighty apps matching the inclusion criteria were analyzed. None of the assessed apps fulfilled the features of the taxonomy of an ideal app. Personalization (70/80, 87.5{\%}) and Data record (64/80, 80.0{\%}) were the 2 top prevalent features, whereas Agenda (5/80, 6.3{\%}) and Rewards (3/80, 3.8{\%}) where the less predominant. The operating system was not associated with the number of features (P=.42, F=.81) nor the type of feature (P=.20, $\chi$2=11.7). Apps were classified according to the number of level 1 features and sorted into quartiles. First quartile apps had a regular distribution of the ten features in the taxonomy whereas the other 3 quartiles had an irregular distribution. Conclusions: There are significant gaps between research and the market in mobile health for type 1 diabetes management. While the literature focuses on aspects related to gamification, rewarding, and social communities, the available apps are focused on disease management aspects such as data record and appointments. Personalized and tailored empowerment features should be included in commercial apps for large-scale assessment of potential in the self-management of the disease.},
day = {21},
doi = {10.2196/12237},
keywords = {mHealth; type 1 diabetes mellitus; patient empowerment; apps; diabetes self-management},
url = {http://mhealth.jmir.org/2018/11/e12237/},
}

Background Expressing anthropometric parameters (height, weight, BMI) as z-score is a key principle in the clinical assessment of children and adolescents. The Centre for Disease Control and Prevention (CDC) growth charts and the CDC-LMS method for z-score calculation are widely used to assess growth and nutritional status, though they can be imprecise in some percentiles. Objective To improve the accuracy of z-score calculation by revising the statistical method using the original data used to develop current z-score calculators. Design A Gaussian Process Regressions (GPR) was designed and internally validated. Z-scores for weight-for-age (WFA), height-for-age (HFA) and BMI-for-age (BMIFA) were compared with WHO and CDC-LMS methods in 1) standard z-score cut-off points, 2) simulated population of 3000 children and 3) real observations 212 children aged 2 to 18 yo. Results GPR yielded more accurate calculation of z-scores for standard cut-off points (p{\textless}{\textless}0.001) with respect to CDC-LMS and WHO approaches. WFA, HFA and BMIFA z-score calculations based on the 3 different methods using simulated and real patients, showed a large variation irrespective of gender and age. Z-scores around 0 +/- 1 showed larger variation than the values above and below +/- 2. Conclusion The revised z-score calculation method was more accurate than CDC-LMS and WHO methods for standard cut-off points. On simulated and real data, GPR based calculation provides more accurate z-score determinations, and thus, a better classification of patients below and above cut-off points. Statisticians and clinicians should consider the potential benefits of updating their calculation method for an accurate z-score determination.

@Article{martinez-millana_optimisation_2018, author = {Martinez-Millana, Antonio and Hulst, Jessie M. and Boon, Mieke and Witters, Peter and Fernandez-Llatas, Carlos and Asseiceira, Ines and Calvo-Lerma, Joaquin and Basagoiti, Ignacio and Traver, Vicente and Boeck, Kris De and Ribes-Koninckx, Carmen},
title = {Optimisation of children z-score calculation based on new statistical techniques},
journal = {PLOS ONE},
year = {2018},
volume = {13},
number = {12},
pages = {e0208362},
issn = {1932-6203},
abstract = {Background Expressing anthropometric parameters (height, weight, BMI) as z-score is a key principle in the clinical assessment of children and adolescents. The Centre for Disease Control and Prevention (CDC) growth charts and the CDC-LMS method for z-score calculation are widely used to assess growth and nutritional status, though they can be imprecise in some percentiles. Objective To improve the accuracy of z-score calculation by revising the statistical method using the original data used to develop current z-score calculators. Design A Gaussian Process Regressions (GPR) was designed and internally validated. Z-scores for weight-for-age (WFA), height-for-age (HFA) and BMI-for-age (BMIFA) were compared with WHO and CDC-LMS methods in 1) standard z-score cut-off points, 2) simulated population of 3000 children and 3) real observations 212 children aged 2 to 18 yo. Results GPR yielded more accurate calculation of z-scores for standard cut-off points (p{\textless}{\textless}0.001) with respect to CDC-LMS and WHO approaches. WFA, HFA and BMIFA z-score calculations based on the 3 different methods using simulated and real patients, showed a large variation irrespective of gender and age. Z-scores around 0 +/- 1 showed larger variation than the values above and below +/- 2. Conclusion The revised z-score calculation method was more accurate than CDC-LMS and WHO methods for standard cut-off points. On simulated and real data, GPR based calculation provides more accurate z-score determinations, and thus, a better classification of patients below and above cut-off points. Statisticians and clinicians should consider the potential benefits of updating their calculation method for an accurate z-score determination.},
doi = {10.1371/journal.pone.0208362},
file = {Full Text PDF:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\NRF9SMVN\\Martinez-Millana et al. - 2018 - Optimisation of children z-score calculation based.pdf:application/pdf;Snapshot:C\:\\Users\\carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\y8acnpak.default\\zotero\\storage\\S6293SQM\\article.html:text/html},
keywords = {Anthropometry, Charts, Children, Mathematical models, Nutrition, Pediatrics, Statistical data, Statistical distributions},
language = {en},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208362},
urldate = {2018-12-24},
}

@InProceedings{gatta2017generating, author = {Gatta, Roberto and Vallati, Mauro and Lenkowicz, Jacopo and Rojas, Eric and Damiani, Andrea and Sacchi, Lucia and De Bari, Berardino and Dagliati, Arianna and Fernandez-Llatas, Carlos and Montesi, Matteo and others},
title = {Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR},
booktitle = {Proceedings of the Knowledge Capture Conference. ACM},
year = {2017},
}

@InProceedings{Gatta2017markov, author = {Roberto Gatta and Jacopo Lenkowicz and Mauro Vallati and Eric Rojas and Andrea Damiani and Carlos Fernandez-Llatas and Lucia Sacchi and Berardino De Bari and Arianna Dagliati and Vincenzo Valentini},
title = {Performance Analysis of Markov Chains-based Models in Process Mining: A Case Study},
booktitle = {Proceedings of the KR4HC - ProHealth 2017},
year = {2017},
}

@InProceedings{rojaspalia, author = {Rojas, Eric and Fern{\'a}ndez-Llatas, Carlos and Traver, Vicente and Munoz-Gama, Jorge and Sep{\'u}lveda, Marcos and Herskovic, Valeria and Capurro, Daniel},
title = {PALIA-ER: Bringing Question-Driven Process Mining Closer to the Emergency Room},
booktitle = {15th International Conference on Business Process Management (BPM 2017)},
year = {2017},
}

@InCollection{gatta2017pminer, author = {Gatta, Roberto and Lenkowicz, Jacopo and Vallati, Mauro and Rojas, Eric and Damiani, Andrea and Sacchi, Lucia and De Bari, Berardino and Dagliati, Anna and Fernandez-Llatas, Carlos and Montesi, Matteo and others},
title = {pMineR: An Innovative R Library for Performing Process Mining in Medicine},
booktitle = {Proceedings of the Conference on Artificial Intelligence in Medicine (AIME 2017)},
publisher = {Springer},
year = {2017},
}

@InProceedings{BHI2017-1, author = {Fernandez-Llatas, Carlos and Rojas,Eric and Bened\'i, Jose Miguel and Traver, Vicente},
title = {Making P-Health Feasible: Automatic Detection of Personal Behavioural Changes through Process Mining Analysis Techniques},
booktitle = {Proceedings of the International conference on Biomedical and HealthInformatics (BHI2017)},
year = {2017},
owner = {carferll},
timestamp = {2014.07.28},
}

@InProceedings{BHI2017-2, author = {Rojas, Eric and Traver, Vicente and Bened\'i, Jose Miguel and Fernandez-Llatas, Carlos},
title = {From Big Data to Personalized Medicine. an Interactive Process Mining Approach},
booktitle = {Proceedings of the International conference on Biomedical and HealthInformatics (BHI2017)},
year = {2017},
owner = {carferll},
timestamp = {2014.07.28},
}

@Article{llatas2017mineria, author = {Fernandez-Llatas, Carlos and Mont{\'o}n, Eduardo and Rovira, Jordi and Vera, Salvador and Traver, Vicente},
title = {Mineria de procesos interactiva: Aproximando el Big Data a la practica clinica},
journal = {I+ S: inform{\'a}tica y salud},
year = {2017},
number = {124},
pages = {44--50},
publisher = {Sociedad Inform{\'a}tica de la Salud (SEIS)},
}

@Article{fernandez2016health, author = {Fernandez-Llatas, Carlos and Traver, Vicente and Borras-Morell, Jose-Enrique and Martinez-Millana, Antonio and Karlsen, Randi},
title = {Are health videos from hospitals, health organizations and active users available to health consumers? An analysis of diabetes health video ranking in YouTube},
journal = {Computational and Mathematical Methods in Medicine},
year = {2017},
volume = {8194940},
pages = {9},
doi = {10.1155/2017/8194940},
url = {https://www.hindawi.com/journals/cmmm/2017/8194940/},
}

@Article{rojas2017question, author = {Rojas, Eric and Sep{\'u}lveda, Marcos and Munoz-Gama, Jorge and Capurro, Daniel and Traver, Vicente and Fernandez-Llatas, Carlos},
title = {Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining},
journal = {Applied Sciences},
year = {2017},
volume = {7},
number = {3},
pages = {302},
publisher = {Multidisciplinary Digital Publishing Institute},
}

Background: Social media is changing the way in which citizens and health professionals communicate. Previous studies have assessed the use of Health 2.0 by hospitals, showing clear evidence of growth in recent years. In order to understand if this happens in Spain, it is necessary to assess the performance of health care institutions on the Internet social media using quantitative indicators. Objectives: The study aimed to analyze how hospitals in Spain perform on the Internet and social media networks by determining quantitative indicators in 3 different dimensions: presence, use, and impact and assess these indicators on the 3 most commonly used social media - Facebook, Twitter, YouTube. Further, we aimed to find out if there was a difference between private and public hospitals in their use of the aforementioned social networks. Methods: The evolution of presence, use, and impact metrics is studied over the period 2011- 2015. The population studied accounts for all the hospitals listed in the National Hospitals Catalog (NHC). The percentage of hospitals having Facebook, Twitter, and YouTube profiles has been used to show the presence and evolution of hospitals on social media during this time. Usage was assessed by analyzing the content published on each social network. Impact evaluation was measured by analyzing the trend of subscribers for each social network. Statistical analysis was performed using a lognormal transformation and also using a nonparametric distribution, with the aim of comparing t student and Wilcoxon independence tests for the observed variables. Results: From the 787 hospitals identified, 69.9% (550/787) had an institutional webpage and 34.2% (269/787) had at least one profile in one of the social networks (Facebook, Twitter, and YouTube) in December 2015. Hospitals' Internet presence has increased by more than 450.0% (787/172) and social media presence has increased ten times since 2011. Twitter is the preferred social network for public hospitals, whereas private hospitals showed better performance on Facebook and YouTube. The two-sided Wilcoxon test and t student test at a CI of 95% show that the use of Twitter distribution is higher (P<.001) for private and public hospitals in Spain, whereas other variables show a nonsignificant different distribution. Conclusions: The Internet presence of Spanish hospitals is high; however, their presence on the 3 main social networks is still not as high compared to that of hospitals in the United States and Western Europe. Public hospitals are found to be more active on Twitter, whereas private hospitals show better performance on Facebook and YouTube. This study suggests that hospitals, both public and private, should devote more effort to and be more aware of social media, with a clear strategy as to how they can foment new relationships with patients and citizens.

@Article{info:doi/10.2196/jmir.6763, author = {Martinez-Millana, Antonio and Fernandez-Llatas, Carlos and Basagoiti Bilbao, Ignacio and Traver Salcedo, Manuel and Traver Salcedo, Vicente},
journal = {J Med Internet Res},
title = {Evaluating the Social Media Performance of Hospitals in Spain: A Longitudinal and Comparative Study},
year = {2017},
month = {May},
number = {5},
pages = {e181},
volume = {19},
abstract = {Background: Social media is changing the way in which citizens and health professionals communicate. Previous studies have assessed the use of Health 2.0 by hospitals, showing clear evidence of growth in recent years. In order to understand if this happens in Spain, it is necessary to assess the performance of health care institutions on the Internet social media using quantitative indicators. Objectives: The study aimed to analyze how hospitals in Spain perform on the Internet and social media networks by determining quantitative indicators in 3 different dimensions: presence, use, and impact and assess these indicators on the 3 most commonly used social media - Facebook, Twitter, YouTube. Further, we aimed to find out if there was a difference between private and public hospitals in their use of the aforementioned social networks. Methods: The evolution of presence, use, and impact metrics is studied over the period 2011- 2015. The population studied accounts for all the hospitals listed in the National Hospitals Catalog (NHC). The percentage of hospitals having Facebook, Twitter, and YouTube profiles has been used to show the presence and evolution of hospitals on social media during this time. Usage was assessed by analyzing the content published on each social network. Impact evaluation was measured by analyzing the trend of subscribers for each social network. Statistical analysis was performed using a lognormal transformation and also using a nonparametric distribution, with the aim of comparing t student and Wilcoxon independence tests for the observed variables. Results: From the 787 hospitals identified, 69.9\% (550/787) had an institutional webpage and 34.2\% (269/787) had at least one profile in one of the social networks (Facebook, Twitter, and YouTube) in December 2015. Hospitals' Internet presence has increased by more than 450.0\% (787/172) and social media presence has increased ten times since 2011. Twitter is the preferred social network for public hospitals, whereas private hospitals showed better performance on Facebook and YouTube. The two-sided Wilcoxon test and t student test at a CI of 95\% show that the use of Twitter distribution is higher (P<.001) for private and public hospitals in Spain, whereas other variables show a nonsignificant different distribution. Conclusions: The Internet presence of Spanish hospitals is high; however, their presence on the 3 main social networks is still not as high compared to that of hospitals in the United States and Western Europe. Public hospitals are found to be more active on Twitter, whereas private hospitals show better performance on Facebook and YouTube. This study suggests that hospitals, both public and private, should devote more effort to and be more aware of social media, with a clear strategy as to how they can foment new relationships with patients and citizens.},
day = {23},
doi = {10.2196/jmir.6763},
keywords = {public health, delivery of health care, Internet, social media, hospitals},
url = {http://www.jmir.org/2017/5/e181/},
}

@InProceedings{traver2016experiences, author = {Traver, M and Basagoiti, I and Martinez-Millana, A and Fern{\'a}ndez-Llatas, C and Traver, V},
title = {Experiences of a general practitioner in the daily practice about Digital Health Literacy. The real needs},
booktitle = {Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the},
year = {2016},
pages = {5644--5647},
organization = {IEEE},
}

@InProceedings{traver2016enhancing, author = {Traver, V and Martinez-Romero, A and Bayo, JL and Sala, P and Carvalho, P and Henriques, J and Ruano, MG and Bianchi, A and Fernandez-Llatas, C},
title = {Enhancing medical evidence discovery through Interactive Pattern Recognition and process mining},
booktitle = {Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE), 2016 Global},
year = {2016},
pages = {1--1},
organization = {IEEE},
}

@Conference{Blanc16WIICT, author = {Sara Blanc and Jose Luis Bayo-Monton and Jose Carlos Campelo and Carlos Fernandez-Llatas},
title = {Process Choreography in Wireless Sensor and Actuator Networks: a proposal to achieve Network Virtualization},
booktitle = {Proceedings of the Workshop on Innovation on Information and CommunicationTechnologies},
year = {2016},
editor = {C.Fernandez-Llatas and M.Guillen (Ed.) ISBN: 978-84-617-7199-8},
owner = {carferll},
timestamp = {2016.12.15},
}

@InProceedings{fernandez-llatas_Challenges_2016, author = {Fernandez-Llatas, Carlos and Martinez-Romero, Alvaro and Bianchi,Anna Maria and Henriques, Jorge and de Carvalho, Paulo and Traver,Vicente},
title = {Challenges in Personalized Systems for Personal Health Care},
booktitle = {Proceedings of the IEEE International Conference on Biomedical and Health Informatics 2016},
year = {2016},
address = {las Vegas, EEUU},
url = {http://emb.citengine.com/event/bhi-2016/paper-details?pdID=7671},
urldate = {2016-04-18},
}

@InProceedings{fernandez-llatas_interactive_2016, author = {Fernandez-Llatas, Carlos and Bayo, Jose Luis and Martinez-Romero, Alvaro and Benedi, Jose Miguel and Traver, Vicente},
title = {Interactive Pattern Recognition in Cardiovascular Diseases Management. A Process Mining Approach},
booktitle = {Proceedings of the IEEE International Conference on Biomedical and Health Informatics 2016},
year = {2016},
address = {las Vegas, EEUU},
file = {Interactive Pattern Recognition in Cardiovascular Diseases Management. A Process Mining Approach:C\:\\Users\\Carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\5b40phrw.default\\zotero\\storage\\J2I3S7WR\\paper-details.html:text/html},
url = {http://emb.citengine.com/event/bhi-2016/paper-details?pdID=7669},
urldate = {2016-04-18},
}

Google Glass is a wearable sensor presented to facilitate access to information and assist while performing complex tasks. Despite the withdrawal of Google in supporting the product, today there are multiple applications and much research analyzing the potential impact of this technology in different fields of medicine. Google Glass satisfies the need of managing and having rapid access to real-time information in different health care scenarios. Among the most common applications are access to electronic medical records, display monitorizations, decision support and remote consultation in specialties ranging from ophthalmology to surgery and teaching. The device enables a user-friendly hands-free interaction with remote health information systems and broadcasting medical interventions and consultations from a first-person point of view. However, scientific evidence highlights important technical limitations in its use and integration, such as failure in connectivity, poor reception of images and automatic restart of the device. This article presents a technical study on the aforementioned limitations (specifically on the latency, reliability and performance) on two standard communication schemes in order to categorize and identify the sources of the problems. Results have allowed us to obtain a basis to define requirements for medical applications to prevent network, computational and processing failures associated with the use of Google Glass.

@Article{s16122142, author = {Martinez-Millana, Antonio and Bayo-Monton, Jose-Luis and Lizondo, Aroa and Fernandez-Llatas, Carlos and Traver, Vicente},
title = {Evaluation of Google Glass Technical Limitations on Their Integration in Medical Systems},
journal = {Sensors},
year = {2016},
volume = {16},
number = {12},
pages = {2142},
issn = {1424-8220},
abstract = {Google Glass is a wearable sensor presented to facilitate access to information and assist while performing complex tasks. Despite the withdrawal of Google in supporting the product, today there are multiple applications and much research analyzing the potential impact of this technology in different fields of medicine. Google Glass satisfies the need of managing and having rapid access to real-time information in different health care scenarios. Among the most common applications are access to electronic medical records, display monitorizations, decision support and remote consultation in specialties ranging from ophthalmology to surgery and teaching. The device enables a user-friendly hands-free interaction with remote health information systems and broadcasting medical interventions and consultations from a first-person point of view. However, scientific evidence highlights important technical limitations in its use and integration, such as failure in connectivity, poor reception of images and automatic restart of the device. This article presents a technical study on the aforementioned limitations (specifically on the latency, reliability and performance) on two standard communication schemes in order to categorize and identify the sources of the problems. Results have allowed us to obtain a basis to define requirements for medical applications to prevent network, computational and processing failures associated with the use of Google Glass.},
doi = {10.3390/s16122142},
owner = {carferll},
timestamp = {2016.12.15},
url = {http://www.mdpi.com/1424-8220/16/12/2142},
}

@InProceedings{PatientWiiCT2015, author = {Alvaro Martinez-Romero and Manuel Traver and Antonio Mart\'inez-Millanaand Carlos Fern\'andez-Llatas and Vicente Traver},
title = {Patient empowerment through wearable and mobile technologies},
booktitle = {Proceedings of the Workshop on Innovation on Information and CommunicationTechnologies},
year = {2015},
owner = {carferll},
timestamp = {2015.11.30},
}

@InProceedings{LizondoWiiCT2015, author = {Aroa Lizondo and Jose Luis Bayo and Vicente Traver and Eduardo Monton and Carlos Fernandez-Llatas},
title = {Support to the optimization of medical processes by semantic annotationof locations},
booktitle = {Proceedings of the Workshop on Innovation on Information and CommunicationTechnologies},
year = {2015},
owner = {carferll},
timestamp = {2015.11.30},
}

Diabetes is one of the metabolic disorders with more growth expectations in next decades. The literature points to a correct self-management, to an appropriate treatment and to an adequate healthy lifestyle as a way to dramatically improve the quality of life of patients with diabetes. The implementation of a holistic diabetes care system, using rising information technologies for deploying cares based on the thesis of the Evidence-Based Medicine can be a effective solution to provide an adequate and continuous care to patients. However, the design and deployment of computer readable careflows is not a easy task. In this paper, we propose the use of Interactive Pattern Recognition techniques for the iterative design of those protocols and we analyze the problems of using Process Mining to infer careflows and how to how to cope with the resulting Spaghetti Effect.

@InProceedings{fernandez-llatas_diabetes_2015, author = {Fernandez-Llatas, Carlos and Martinez-Millana, Antonio and Martinez-Romero,Alvaro and Benedi, Jose Miguel and Traver, Vicente},
title = {Diabetes care related process modelling using {Process} {Mining}techniques. {Lessons} learned in the application of {Interactive}{Pattern} {Recognition}: coping with the {Spaghetti} {Effect}},
booktitle = {2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
year = {2015},
pages = {2127--2130},
abstract = {Diabetes is one of the metabolic disorders with more growth expectations in next decades. The literature points to a correct self-management, to an appropriate treatment and to an adequate healthy lifestyle as a way to dramatically improve the quality of life of patients with diabetes. The implementation of a holistic diabetes care system, using rising information technologies for deploying cares based on the thesis of the Evidence-Based Medicine can be a effective solution to provide an adequate and continuous care to patients. However, the design and deployment of computer readable careflows is not a easy task. In this paper, we propose the use of Interactive Pattern Recognition techniques for the iterative design of those protocols and we analyze the problems of using Process Mining to infer careflows and how to how to cope with the resulting Spaghetti Effect.},
doi = {10.1109/EMBC.2015.7318809},
file = {IEEE Xplore Abstract Record:C\:\\Users\\Carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\5b40phrw.default\\zotero\\storage\\G9UIF4GA\\abs_all.html:text/html;IEEE Xplore Full Text PDF:C\:\\Users\\Carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\5b40phrw.default\\zotero\\storage\\F576NTNS\\Fernandez-Llatas et al. - 2015 - Diabetes care related process modelling using Proc.pdf:application/pdf},
keywords = {data mining, Diabetes, Guidelines, Intellectual property, protocols},
shorttitle = {Diabetes care related process modelling using {Process} {Mining} techniques. {Lessons} learned in the application of {Interactive} {Pattern} {Recognition}},
}

The application of statistics and mathematics over large amounts of data is providing healthcare systems with new tools for screening and managing multiple diseases. Nonetheless, these tools have many technical and clinical limitations as they are based on datasets with concrete characteristics. This proposition paper describes a novel architecture focused on providing a validation framework for discrimination and prediction models in the screening of Type 2 diabetes. For that, the architecture has been designed to gather different data sources under a common data structure and, furthermore, to be controlled by a centralized component (Orchestrator) in charge of directing the interaction flows among data sources, models and graphical user interfaces. This innovative approach aims to overcome the data-dependency of the models by providing a validation framework for the models as they are used within clinical settings.

@InProceedings{martinez-millana_data_2015, author = {Martinez-Millana, A. and Fernandez-Llatas, C. and Sacchi, L. andSegagni, D. and Guillen, S. and Bellazzi, R. and Traver, V.},
title = {From data to the decision: A software architecture to integrate predictivemodelling in clinical settings},
booktitle = {2015 37th Annual International Conference of the IEEE Engineeringin Medicine and Biology Society (EMBC)},
year = {2015},
pages = {8161--8164},
abstract = {The application of statistics and mathematics over large amounts of data is providing healthcare systems with new tools for screening and managing multiple diseases. Nonetheless, these tools have many technical and clinical limitations as they are based on datasets with concrete characteristics. This proposition paper describes a novel architecture focused on providing a validation framework for discrimination and prediction models in the screening of Type 2 diabetes. For that, the architecture has been designed to gather different data sources under a common data structure and, furthermore, to be controlled by a centralized component (Orchestrator) in charge of directing the interaction flows among data sources, models and graphical user interfaces. This innovative approach aims to overcome the data-dependency of the models by providing a validation framework for the models as they are used within clinical settings.},
doi = {10.1109/EMBC.2015.7320288},
file = {IEEE Xplore Abstract Record:C\:\\Users\\Carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\5b40phrw.default\\zotero\\storage\\X864N9IM\\abs_all.html:text/html;IEEE Xplore Full Text PDF:C\:\\Users\\Carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\5b40phrw.default\\zotero\\storage\\UZBV6S63\\Martinez-Millana et al. - 2015 - From data to the decision A software architecture.pdf:application/pdf},
keywords = {Computer architecture, Data models, Diabetes, Hospitals, Mathematicalmodel, Predictive models, protocols},
shorttitle = {From data to the decision},
}

This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written ...

@Book{datamininingbook2015, title = {Data Mining in Clinical Medicine},
publisher = {Humana Press, Springer},
year = {2015},
author = {Carlos Fernandez-Llatas and Juan-Miguel Garcia-Gomez},
editor = {Carlos Fernandez-Llatas and Juan-Miguel Garcia-Gomez},
volume = {Methods in Molecular Biology, Vol. 1246},
abstract = {This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written ...},
owner = {carferll},
timestamp = {2014.12.15},
url = {http://www.springer.com/life+sciences/systems+biology+and+bioinformatics/book/978-1-4939-1984-0},
urldate = {2014-12-15},
}

@InCollection{Fico2015, author = {Fico, Giuseppe and Cancela, Jorge and Arredondo, MariaTeresa and Dagliati, Arianna and Sacchi, Lucia and Segagni, Daniele and Millana, AntonioMartinez and Fernandez-Llatas, Carlos and Traver, Vicenteand Sambo, Francesco and Facchinetti, Andrea and Verdu, Jose and Guillen, Alejandra and Bellazzi, Riccardo and Cobelli, Claudio},
title = {User Requirements for Incorporating Diabetes Modeling Techniques in Disease Management Tools},
booktitle = {6th European Conference of the International Federation for Medical and Biological Engineering},
publisher = {Springer International Publishing},
year = {2015},
editor = {Lackovia, Igor and Vasic, Darko},
volume = {45},
series = {IFMBE Proceedings},
pages = {992-995},
isbn = {978-3-319-11127-8},
doi = {10.1007/978-3-319-11128-5_248},
keywords = {Type 2 Diabetes modeling; Health Technology Assessment; User Requirements},
language = {English},
url = {http://dx.doi.org/10.1007/978-3-319-11128-5_248},
}

The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the measure of this process is usually made in an obtrusive way, forcing nurses to get information and time data, affecting the proper process and generating inaccurate data due to human errors during the stressful journey of health staff in the operating theater. The use of indoor location systems can take time information about the process in an unobtrusive way, freeing nurses, allowing them to engage in purely welfare work. However, it is necessary to present these data in a understandable way for health professionals, who cannot deal with large amounts of historical localization log data. The use of process mining techniques can deal with this problem, offering an easily understandable view of the process. In this paper, we present a tool and a process mining-based methodology that, using indoor location systems, enables health staff not only to represent the process, but to know precise information about the deployment of the process in an unobtrusive and transparent way. We have successfully tested this tool in a real surgical area with 3613 patients during February, March and April of 2015.

@Article{fernandez-llatas_process_2015, author = {Fernandez-Llatas, Carlos and Lizondo, Aroa and Monton, Eduardo and Benedi, Jose-Miguel and Traver, Vicente},
title = {Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems},
journal = {Sensors},
year = {2015},
volume = {15},
number = {12},
pages = {29821--29840},
month = nov, abstract = {The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the measure of this process is usually made in an obtrusive way, forcing nurses to get information and time data, affecting the proper process and generating inaccurate data due to human errors during the stressful journey of health staff in the operating theater. The use of indoor location systems can take time information about the process in an unobtrusive way, freeing nurses, allowing them to engage in purely welfare work. However, it is necessary to present these data in a understandable way for health professionals, who cannot deal with large amounts of historical localization log data. The use of process mining techniques can deal with this problem, offering an easily understandable view of the process. In this paper, we present a tool and a process mining-based methodology that, using indoor location systems, enables health staff not only to represent the process, but to know precise information about the deployment of the process in an unobtrusive and transparent way. We have successfully tested this tool in a real surgical area with 3613 patients during February, March and April of 2015.},
copyright = {http://creativecommons.org/licenses/by/3.0/},
doi = {10.3390/s151229769},
keywords = {health process, indoor location systems, process mining},
language = {en},
url = {http://www.mdpi.com/1424-8220/15/12/29769},
urldate = {2015-11-30},
}

@InCollection{Fernandez-Llatas2015a, author = {Fernandez-Llatas, Carlos and Pileggi, Salvatore F. and Iba\~nez, Gema and Valero, Zoe and Sala, Pilar},
title = {Cloud Computing for Context-Aware Enhanced m-Health Services},
booktitle = {Data Mining in Clinical Medicine},
publisher = {Springer New York},
year = {2015},
editor = {Fern\'andez-Llatas, Carlos and Garc\'ia-G\'omez, Juan Miguel},
volume = {1246},
pages = {147--155},
address = {New York, {NY}},
isbn = {978-1-4939-1984-0, 978-1-4939-1985-7},
file = {SpringerProtocols\: Abstract\: Cloud Computing for Context-Aware Enhanced m-Health Services:C\:\\Users\\Carferll\\AppData\\Roaming\\Zotero\\Zotero\\Profiles\\5b40phrw.default\\zotero\\storage\\UE4G7WUZ\\978-1-4939-1985-7_10.html:text/html},
owner = {carferll},
timestamp = {2014.12.15},
url = {http://www.springerprotocols.com/Abstract/doi/10.1007/978-1-4939-1985-7_10},
urldate = {2014-12-15},
}

Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiological sensors, mobile technologies and patient/doctor applications over a service-oriented architecture that has been evaluated in an international trial (83,905 operation records). The proposed system integrates three types of running environments and data engines in a single service-oriented architecture. This feature is used to assess key performance indicators comparing them with other type of architectures. Data sustainability across the applications has been evaluated showing better outcomes for full integrated sensors. At the same time, runtime performance of clients has been assessed spotting no differences regarding the operative environment.

@Article{Martinez-Millana2015, author = {Martinez-Millana, A. and Fico, G. and Fernandez-Llatas, C. and Traver,V.},
title = {Performance assessment of a closed-loop system for diabetes management},
journal = {Medical \& Biological Engineering \& Computing},
year = {2015},
volume = {2015},
pages = {1--9},
month = feb, issn = {0140-0118, 1741-0444},
abstract = {Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiological sensors, mobile technologies and patient/doctor applications over a service-oriented architecture that has been evaluated in an international trial (83,905 operation records). The proposed system integrates three types of running environments and data engines in a single service-oriented architecture. This feature is used to assess key performance indicators comparing them with other type of architectures. Data sustainability across the applications has been evaluated showing better outcomes for full integrated sensors. At the same time, runtime performance of clients has been assessed spotting no differences regarding the operative environment.},
doi = {10.1007/s11517-015-1245-3},
keywords = {Biomedical Engineering, Computer Applications, Diabetes, Human Physiology, Imaging / Radiology, KPI, mHealth, Performance, Sensors, SOA, Telemonitoring},
language = {en},
owner = {carferll},
timestamp = {2015.02.17},
url = {http://link.springer.com/article/10.1007/s11517-015-1245-3},
urldate = {2015-02-17},
}

The creation of tools supporting the automatization of the standardization and continuous control of healthcare processes can become a significant helping tool for clinical experts and healthcare systems willing to reduce variability in clinical practice. The reduction in the complexity of design and deployment of standard Clinical Pathways can enhance the possibilities for effective usage of computer assisted guidance systems for professionals and assure the quality of the provided care. Several technologies have been used in the past for trying to support these activities but they have not been able to generate the disruptive change required to foster the general adoption of standardization in this domain due to the high volume of work, resources, and knowledge required to adequately create practical protocols that can be used in practice. This chapter proposes the use of the {PALIA} algorithm, based in Activity-Based process mining techniques, as a new technology to infer the actual processes from the real execution logs to be used in the design and quality control of healthcare processes.

@InCollection{Fernandez-Llatas2015, author = {Fernandez-Llatas, Carlos and Valdivieso, Bernardo and Traver, Vicente and Benedi, Jose Miguel},
title = {Using Process Mining for Automatic Support of Clinical Pathways Design},
booktitle = {Data Mining in Clinical Medicine},
publisher = {Springer New York},
year = {2015},
editor = {Fern\'andez-Llatas, Carlos and Garc\'ia-G\'omez, Juan Miguel},
number = {1246},
series = {Methods in Molecular Biology},
pages = {79--88},
month = jan, isbn = {978-1-4939-1984-0, 978-1-4939-1985-7},
abstract = {The creation of tools supporting the automatization of the standardization and continuous control of healthcare processes can become a significant helping tool for clinical experts and healthcare systems willing to reduce variability in clinical practice. The reduction in the complexity of design and deployment of standard Clinical Pathways can enhance the possibilities for effective usage of computer assisted guidance systems for professionals and assure the quality of the provided care. Several technologies have been used in the past for trying to support these activities but they have not been able to generate the disruptive change required to foster the general adoption of standardization in this domain due to the high volume of work, resources, and knowledge required to adequately create practical protocols that can be used in practice. This chapter proposes the use of the {PALIA} algorithm, based in Activity-Based process mining techniques, as a new technology to infer the actual processes from the real execution logs to be used in the design and quality control of healthcare processes.},
copyright = {(c)2015 Springer Science+Business Media New York},
keywords = {Bioinformatics, Clinical Pathways, process mining, Process standardization, workflows},
language = {en},
owner = {carferll},
timestamp = {2014.12.15},
url = {http://link.springer.com/protocol/10.1007/978-1-4939-1985-7_5},
urldate = {2014-12-15},
}

@InProceedings{WIICT2014, author = {Carlos Fernandez-Llatas and Antonio Martinez-Millana and Jose Miguel Benedi and Vicente Traver},
title = {Spring forces based Interactive Automatic Timed Parallel Automaton Layout Algorithm for Process Mining output Representation},
booktitle = {Proceedings of Workshop on Innovation on Information and Communication Technologies (ITACA-WIICT 2014)},
year = {2014},
owner = {carferll},
timestamp = {2014.07.28},
}

@InProceedings{BHI2014, author = {Fernandez-Llatas, Carlos and Sacchi, Lucia and Bened\'i, Jose Miguel and Dagliati, Arianna and Traver, Vicente and Bellazzi, Riccardo},
title = {Temporal Abstractions to Enrich Activity-Based Process Mining Corpuswith Clinical Time Series},
booktitle = {Proceedings of the International conference on Biomedical and HealthInformatics (BHI2014)},
year = {2014},
owner = {carferll},
timestamp = {2014.07.28},
}

@InProceedings{wiict2014II, author = {Jos\'e Luis Bayo and \'Alvaro Mart\'inez-Romero and Carlos Fernandez-Llatas and Vicente Traver},
title = {Content Management System: a Review.},
booktitle = {Proceedings of Workshop on Innovation on Information and Communication Technologies (ITACA-WIICT 2014)},
year = {2014},
owner = {carferll},
timestamp = {2014.07.28},
}

@Book{fernandez-llatas_aplicando_2014, title = {Aplicando Process Mining en la Medicina Basada en la Evidencia},
publisher = {Publicia},
year = {2014},
author = {Fernandez-Llatas, Carlos},
month = mar, comment = {ISBN: 978-3-639-55531-8},
keywords = {3639555317, 9783639555318, 978-3-639-55531-8, Aplicando Process Mining en la Medicina Basada en la Evidencia, Arte, Ciencias Medicas, Ciencias sociales, Consejero, d Escuela y el aprendizaje, Humanidades, Informatica, Libro especializado, Naturales, Otros, pattern recognition, Procesos, process mining, Tecnologia, Viajes, Vias Clinicas, workflows},
url = {https://www.morebooks.de/store/es/book/aplicando-process-mining-en-la-medicina-basada-en-la-evidencia/isbn/978-3-639-55531-8},
urldate = {2014-04-30},
}

@InBook{Alfabet2014, chapter = {Personalizacion de la Informacion},
pages = {485-495},
title = {Personalizacion de la Informacion in Alfabetizacion en Salud. Dela Informacion a la accion},
publisher = {ITACA Press},
year = {2014},
author = {Carlos Fernandez-Llatas and Jose Enrique Borras},
editor = {Ignacio Basagoiti},
note = {ISBN: 978-84-695-5267-4},
owner = {carferll},
timestamp = {2014.04.30},
url = {http://www.salupedia.org/alfabetizacion/},
}

@InProceedings{TCBORRAS2013, author = {Jose E. Borras and Jorge Igual and Carlos Fernandez-Llatas and Vicente Traver},
title = {A TV Commercial Retrieval System based on Audio Features},
booktitle = {ICETE2013},
year = {2013},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{KASSAYETOWARDS2013, author = {Kassaye Yitbarek Yigzaw and Johan Gustav Bellika and Anders Andersenand Gunnar Hartvigsen and Carlos Fernandez-Llatas},
title = {Towards Privacy-Preserving Computing on Distributed Health RecordData},
booktitle = {ACM MIddleware 2013},
year = {2013},
owner = {carferll},
timestamp = {2013.10.28},
}

@Article{s131115434, author = {Fern\'andez-Llatas, Carlos and Benedi, Jos\'e-Miguel and Garc\'ia-G\'omez,Juan M. and Traver, Vicente},
title = {Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes},
journal = {Sensors},
year = {2013},
volume = {13},
number = {11},
pages = {15434--15451},
issn = {1424-8220},
doi = {10.3390/s131115434},
url = {http://www.mdpi.com/1424-8220/13/11/15434},
}

@Article{ijerph10115671, author = {Fern\'andez-Llatas, Carlos and Meneu, Teresa and Traver, Vicente and Benedi, Jos\'e-Miguel},
title = {Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation},
journal = {International Journal of Environmental Research and Public Health},
year = {2013},
volume = {10},
number = {11},
pages = {5671--5682},
issn = {1660-4601},
doi = {10.3390/ijerph10115671},
url = {http://www.mdpi.com/1660-4601/10/11/5671},
}

@Article{Pileggi2013407, author = {Pileggi, S.F. and Fern\'andez-Llatas, C.},
title = {Towards semantic resources in the cloud},
journal = {Communications in Computer and Information Science},
year = {2013},
volume = {358},
pages = {407-416},
note = {cited By (since 1996)0},
document_type = {Conference Paper},
source = {Scopus},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84882242616&partnerID=40&md5=5a729ee9b35b907ab17dc7245a2cf6d1},
}

@InCollection{PilegiMetropolitan2013, author = {Pileggi, SalvatoreF. and Fern\'andez-Llatas, Carlos and Traver, Vicente},
title = {Metropolitan Ecosystems among Heterogeneous Cognitive Networks: Issues,Solutions and Challenges},
booktitle = {Knowledge Discovery, Knowledge Engineering and Knowledge Management},
publisher = {Springer Berlin Heidelberg},
year = {2013},
editor = {Fred, Ana and Dietz, JanL.G. and Liu, Kecheng and Filipe, Joaquim},
volume = {348},
series = {Communications in Computer and Information Science},
pages = {323-333},
isbn = {978-3-642-37185-1},
doi = {10.1007/978-3-642-37186-8_21},
keywords = {Cognitive networks; Semantic technologies; Distributed computing;Sensor networks},
url = {http://dx.doi.org/10.1007/978-3-642-37186-8_21},
}

Current trends in health management improvement demand the standardization of care protocols to achieve better quality and efficiency. The use of Clinical Pathways is an emerging solution for that problem. However, current Clinical Pathways are big manuals written in natural language and highly affected by human subjectivity. These problems make their deployment and dissemination extremely difficult in real practice environments. Furthermore, the intrinsic difficulties for the design of formal Clinical Pathways requires new specific design tools to help making them relly useful and cost-effective. Process Mining techniques can help to automatically infer processes definition from execution samples and, thus, support the automatization of the standardization and continuous control of healthcare processes. This way, they can become a relevant helping tool for clinical experts and healthcare systems for reducing variability in clinical practice and better understand the performance of the system.

@Article{meneu_heart_2013, author = {Meneu, T and Traver, V and Guillen, S and Valdivieso, B and Benedi,J and Fern\'andez-Llatas, C},
title = {Heart Cycle: Facilitating the deployment of advanced care processes},
journal = {35th Annual International Conference of the IEEE Engineering in Medicineand Biology Society},
year = {2013},
volume = {2013},
pages = {6996--6999},
month = jul, issn = {1557-{170X}},
note = {{PMID:} 24111355},
abstract = {Current trends in health management improvement demand the standardization of care protocols to achieve better quality and efficiency. The use of Clinical Pathways is an emerging solution for that problem. However, current Clinical Pathways are big manuals written in natural language and highly affected by human subjectivity. These problems make their deployment and dissemination extremely difficult in real practice environments. Furthermore, the intrinsic difficulties for the design of formal Clinical Pathways requires new specific design tools to help making them relly useful and cost-effective. Process Mining techniques can help to automatically infer processes definition from execution samples and, thus, support the automatization of the standardization and continuous control of healthcare processes. This way, they can become a relevant helping tool for clinical experts and healthcare systems for reducing variability in clinical practice and better understand the performance of the system.},
doi = {10.1109/EMBC.2013.6611168},
language = {eng},
owner = {carferll},
shorttitle = {Heart Cycle},
timestamp = {2013.10.28},
}

@InProceedings{CALZONPERSONALIZED2012, author = {Ana-Belen Sanchez Calz\'on and Carlos Fern\'andez-Llatas and Juan Carlos Naranjo and Teresa Meneu},
title = {Personalized Motivation in Dementia Management through Detectionof Behavior Patterns},
booktitle = {International conference on eHealth Telemedicine, and Social Medicine 2012},
year = {2012},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{DBLP:conf/icaart/PileggiIFN12, author = {Salvatore F. Pileggi and Gema Iba\~nez and Carlos Fern\'andez-Llatas and Juan Carlos Narajo-Martinez},
title = {Enabling Semantic Resources in the Cloud},
booktitle = {ICAART},
year = {2012},
pages = {541-546},
bibsource = {DBLP, http://dblp.uni-trier.de},
crossref = {DBLP:conf/icaart/2012-1},
}

Semantic technologies are experimenting an increasing popularity in the context of different domains and applications. The understanding of any class of system can be significantly changed under the assumption any system is part of a global ecosystem known as Semantic Web. The Semantic Web would be an evolving extension of current Web model (normally referred as Syntactic Web) that introduces a semantic layer in which semantics, or meaning of information, are formally defined. So, semantics should integrate web-centric standard information infrastructures improving several aspects of interaction among heterogeneous systems. This is because common interoperability models are progressively becoming obsolete if compared with the intrinsic complexity and always more distributed focus that feature modern systems. For example, the basic interoperability model, that assumes the interchange of messages among systems without any interpretation, is simple but effective only in the context of close environments. Also more advanced models, such as the functional interoperability model that integrates basic interoperability model with the ability of intepretating data context under the assumption of a shared schema for data fields accessing, appears not able to provide a full sustainable technologic support for open systems. The Semantic Interoperability model would improve common interoperability models introducing the interpretation of means of data. Semantic interoperability is a concretely applicable interaction model under the assumption of adopting rich data models (commonly called Ontology) composed of concepts within a domain and the relationships among those concepts. In practice, semantic technologies are partially inverting the common view at actor intelligence: intelligence is not implemented (only) by actors but it is implicitly resident in the knowledge model. In other words, schemas contain information and the "code" to interpretate it.

@Book{pileggi_semantic_2012, title = {Semantic Interoperability Issues, Solutions, Challenges},
publisher = {River Publishers},
year = {2012},
author = {Pileggi, Salvatore F. and Fernandez-Llatas, Carlos},
editor = {Pileggi, Salvatore F. and Fernandez-Llatas, Carlos},
month = mar, isbn = {9788792329790},
abstract = {Semantic technologies are experimenting an increasing popularity in the context of different domains and applications. The understanding of any class of system can be significantly changed under the assumption any system is part of a global ecosystem known as Semantic Web. The Semantic Web would be an evolving extension of current Web model (normally referred as Syntactic Web) that introduces a semantic layer in which semantics, or meaning of information, are formally defined. So, semantics should integrate web-centric standard information infrastructures improving several aspects of interaction among heterogeneous systems. This is because common interoperability models are progressively becoming obsolete if compared with the intrinsic complexity and always more distributed focus that feature modern systems. For example, the basic interoperability model, that assumes the interchange of messages among systems without any interpretation, is simple but effective only in the context of close environments. Also more advanced models, such as the functional interoperability model that integrates basic interoperability model with the ability of intepretating data context under the assumption of a shared schema for data fields accessing, appears not able to provide a full sustainable technologic support for open systems. The Semantic Interoperability model would improve common interoperability models introducing the interpretation of means of data. Semantic interoperability is a concretely applicable interaction model under the assumption of adopting rich data models (commonly called Ontology) composed of concepts within a domain and the relationships among those concepts. In practice, semantic technologies are partially inverting the common view at actor intelligence: intelligence is not implemented (only) by actors but it is implicitly resident in the knowledge model. In other words, schemas contain information and the "code" to interpretate it.},
keywords = {Computers / Computer Science},
language = {en},
owner = {carferll},
timestamp = {2013.10.28},
url = {http://www.amazon.com/Interoperability-Challenges-Publishers-Information-Technology/dp/8792329799},
}

@InCollection{banaitiene_integrated_2012, author = {Lazaro, Oscar and Moyano, Agustin and Uriarte, Mikel and Gonzalez, Alicia and Meneu, Teresa and Fern\'andez-Llatas, Carlos and Traver, Vicente and Molina, Benjamin and Palau, Carlos and Lopez, Oscar andSanchez, Etxahun and Ros, Saioa and Moreno, Antonio and Gonzalez,Maria and Antonio, Jose and Sepulcre, Miguel and Gozalvez, Javierand Collantes, Luis and Prieto, Gonzalo},
title = {Integrated and Personalised Risk Management in the Sensing Enterprise},
booktitle = {Risk Management - Current Issues and Challenges},
publisher = {{InTech}},
year = {2012},
editor = {Banaitiene, Nerija},
month = sep, isbn = {978-953-51-0747-7},
file = {Integrated and Personalised Risk Management in the Sensing Enterprise | InTechOpen:C:\Users\Carferll\AppData\Roaming\Zotero\Zotero\Profiles\5b40phrw.default\zotero\storage\2Q85C3EB\integrated-and-personalised-risk-management-in-the-sensing-enterprise.html:text/html},
owner = {carferll},
timestamp = {2013.10.28},
url = {http://www.intechopen.com/books/risk-management-current-issues-and-challenges/integrated-and-personalised-risk-management-in-the-sensing-enterprise},
urldate = {2013-10-28},
}

@Article{pileggi_when_2012, author = {Pileggi, Salvatore F. and Fern\'andez-Llatas, Carlos and Traver,Vicente},
title = {When the Social Meets the Semantic: Social Semantic Web or Web 2.5},
journal = {Future Internet},
year = {2012},
volume = {4},
number = {4},
pages = {852--864},
month = sep, issn = {1999-5903},
doi = {10.3390/fi4030852},
file = {Future Internet | Free Full-Text | When the Social Meets the Semantic: Social Semantic Web or Web 2.5:C:\Users\Carferll\AppData\Roaming\Zotero\Zotero\Profiles\5b40phrw.default\zotero\storage\K66WR49W\852.html:text/html},
owner = {carferll},
shorttitle = {When the Social Meets the Semantic},
timestamp = {2013.10.28},
url = {http://www.mdpi.com/1999-5903/4/3/852},
urldate = {2013-10-28},
}

@InProceedings{conf/icaart/Sanchez-CalzonFPM12, author = {S\'anchez-Calz\'on, Ana Bel\'en and Fernandez-Llatas, Carlos and Pileggi, Salvatore Flavio and Meneu, Teresa},
title = {Impact of Semantic Technologies to Human Behavior Modeling - A Psychosocial Rationalization.},
booktitle = {ICAART},
year = {2012},
editor = {Filipe, Joaquim and Fred, Ana L. N.},
pages = {547-552},
publisher = {SciTePress},
added-at = {2012-12-19T00:00:00.000+0100},
biburl = {http://www.bibsonomy.org/bibtex/2b2357070bec29549c1006bf2d7ad3554/dblp},
crossref = {conf/icaart/2012-1},
interhash = {d949a7108a4fc79373afe4ed747070e1},
intrahash = {b2357070bec29549c1006bf2d7ad3554},
isbn = {978-989-8425-95-9},
keywords = {dblp},
timestamp = {2012-12-19T00:00:00.000+0100},
url = {http://dblp.uni-trier.de/db/conf/icaart/icaart2012-1.html#Sanchez-CalzonFPM12},
}

@InProceedings{BAYOSERIOUS2011, author = {Jose Luis Bayo-Mont\'on and Carlos Fern\'andez-Llatas and Juan-Miguel Garc\'ia-G\'omez and Vicente Traver},
title = {Serious games for dementia illness detection and Motivation: TheeMotiva Experience},
booktitle = {III Workshop on Technology for Healthcare and Healthy Lifestyle,2011},
year = {2011},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{MOcholiOntologi2011, author = {Juan Bautista Mochol\'i and Pilar Sala and Juan Carlos Naranjo andVicente Traver and Carlos Fern\'andez-Llatas},
title = {Ontology for simulation of Ambient Assisted Living Environments International},
booktitle = {Workshop on Semantic Interoperability 2011},
year = {2011},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{NAVARROSERIOUS2011, author = {Maria Amparo Navarro-Salvador and Ana-Belen Sanchez Calz\'on andCarlos Fern\'andez-Llatas and Teresa Meneu},
title = {Serious games for dynamic Content and advanced Entertainment Services},
booktitle = {III Workshop on Technology for Healthcare and Healthy Lifestyle,2011},
year = {2011},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{PIquerasSupport2011, author = {Maria Martinez Piqueras and Carlos Fern\'andez-Llatas and CarlosCebrian and Teresa Meneu},
title = {Decision Support System for Health Continuous Vigilance in IndustrialEnvironments},
booktitle = {III Workshop on Technology for Healthcare and Healthy Lifestyle,2011},
year = {2011},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{PIlleggiControl2011, author = {Salvatore F. Pileggi, Carlos Fern\'andez-Llatas, Vicente Traver},
title = {Remote control and tele-operation in the cloud},
booktitle = {6th International Conference on software and Data Technologies, ICSOFT2011},
year = {2011},
owner = {carferll},
timestamp = {2013.10.28},
}

@Article{SEMANTICLAYER2011, author = {Salvatore F. Pileggi and Carlos Fern\'andez-Llatas and Vicente Traver},
title = {A Semantic Layer for Embedded Sensor Networks},
journal = {ARPN Journal of Systems and Software ISSN: 2222-9833},
year = {2011},
volume = {1},
pages = {101-107},
owner = {carferll},
timestamp = {2013.10.28},
url = {http://scientific-journals.org/archive/vol1no3/vol1no3_4.pdf},
}

@Article{ENJOIT_2011, author = {M. Amparo Navarro-Salvador and Ana Bel\'en S\'anchez-Calz\'on andCarlos Fern\'andez-Llatas and Teresa Meneu},
title = {Enjoy.IT!: A Platform to Integrate Entertainment Services},
journal = {International Journal of Ambient Computing and Intelligence (IJACI)ISSN: 1941-6237},
year = {2011},
volume = {3},
pages = {1-9},
doi = {10.4018/jaci.2011100101},
owner = {carferll},
timestamp = {2013.10.28},
url = {http://www.igi-global.com/article/international-journal-ambient-computing-intelligence/61136},
}

@InProceedings{Fernandez-Llatas:2011:PCH:2022384.2022411, author = {Fern\'andez-Llatas, Carlos and Mochol\'i, Juan Bautista and Sala, Pilar and Naranjo, Juan Carlos},
title = {Process choreography for human interaction computer-aided simulation},
booktitle = {Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I},
year = {2011},
series = {HCII'11},
pages = {214--220},
address = {Berlin, Heidelberg},
publisher = {Springer-Verlag},
acmid = {2022411},
isbn = {978-3-642-21601-5},
location = {Orlando, FL},
numpages = {7},
url = {http://dl.acm.org/citation.cfm?id=2022384.2022411},
}

Nursing homes usually host large accounts of persons with different levels of dementia. Detecting dementia process in early stages may allow the application of mechanisms to reduce or stop the cognitive impairment. Our ultimate objective is to demonstrate that the use of persuasive techniques may serve to motivate these subjects and induct re-learning mechanisms to stop mental impairment. Nevertheless, this requires the study of the behaviour of each patient individually in order to detect conduct disorders in their living ambient. This study presents a behavior pattern detection architecture based on the Ambient Assisted Living paradigm and Workflow Mining technology to enable re-learning mechanisms in dementia processes via providing tools to automate the conduct disorder detection. This architecture fosters the use of Workflows as representation languages to allow health professionals to represent persuasive motivation protocols in the {AAL} environment to react individually to dementia symptoms detected.

@Article{fernandez-llatas_behaviour_2011, author = {Fern\'andez-Llatas, Carlos and Garcia-Gomez, Juan Miguel and Vicente, Javier and Naranjo, Juan Carlos and Robles, Monserrat and Benedi,Jose Miguel and Traver, Vicente},
title = {Behaviour patterns detection for persuasive design in Nursing Homes to help dementia patients},
journal = {33th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.},
year = {2011},
volume = {2011},
pages = {6413--6417},
issn = {1557-{170X}},
note = {{PMID:} 22255806},
abstract = {Nursing homes usually host large accounts of persons with different levels of dementia. Detecting dementia process in early stages may allow the application of mechanisms to reduce or stop the cognitive impairment. Our ultimate objective is to demonstrate that the use of persuasive techniques may serve to motivate these subjects and induct re-learning mechanisms to stop mental impairment. Nevertheless, this requires the study of the behaviour of each patient individually in order to detect conduct disorders in their living ambient. This study presents a behavior pattern detection architecture based on the Ambient Assisted Living paradigm and Workflow Mining technology to enable re-learning mechanisms in dementia processes via providing tools to automate the conduct disorder detection. This architecture fosters the use of Workflows as representation languages to allow health professionals to represent persuasive motivation protocols in the {AAL} environment to react individually to dementia symptoms detected.},
doi = {10.1109/IEMBS.2011.6091583},
keywords = {Aged, Algorithms, Automatic Data Processing, Behavior, Cognition Disorders, Computers, Dementia, Equipment Design, Facility Design and Construction, Geriatrics, Homes for the Aged, Humans, Mental Disorders, Motivation, Nursing Homes, Signal Processing, Computer-Assisted},
language = {eng},
owner = {carferll},
timestamp = {2013.10.28},
}

The design of Ambient Assisted Living ({AAL)} products is a very demanding challenge. {AAL} products creation is a complex iterative process which must accomplish exhaustive prerequisites about accessibility and usability. In this process the early detection of errors is crucial to create cost-effective systems. Computer-assisted tools can suppose a vital help to usability designers in order to avoid design errors. Specifically computer simulation of products in {AAL} environments can be used in all the design phases to support the validation. In this paper, a computer simulation tool for supporting usability designers in the creation of innovative {AAL} products is presented. This application will benefit their work saving time and improving the final system functionality.

@Article{fernandez-llatas_ambient_2011, author = {Fern\'andez-Llatas, Carlos and Mochol\'i, Juan Bautista and Sala, Pilar and Naranjo, Juan Carlos and Pileggi, Salvatore F and Guill\'en, Sergio and Traver, Vicente},
title = {Ambient Assisted Living spaces validation by services and devices simulation},
journal = {33th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.},
year = {2011},
volume = {2011},
pages = {1785--1788},
issn = {1557-{170X}},
note = {{PMID:} 22254674},
abstract = {The design of Ambient Assisted Living ({AAL)} products is a very demanding challenge. {AAL} products creation is a complex iterative process which must accomplish exhaustive prerequisites about accessibility and usability. In this process the early detection of errors is crucial to create cost-effective systems. Computer-assisted tools can suppose a vital help to usability designers in order to avoid design errors. Specifically computer simulation of products in {AAL} environments can be used in all the design phases to support the validation. In this paper, a computer simulation tool for supporting usability designers in the creation of innovative {AAL} products is presented. This application will benefit their work saving time and improving the final system functionality.},
doi = {10.1109/IEMBS.2011.6090509},
keywords = {Assisted Living Facilities, Computer Graphics, Computer Simulation, Computer-Aided Design, Imaging, Three-Dimensional, Models, Theoretical, Monitoring, Ambulatory, Telemedicine, User-Computer Interface},
language = {eng},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{Fernandez-Llatas:2011:TPA:2013880.2014151, author = {Fern\'andez-Llatas, Carlos and Pileggi, Salvatore F. and Traver, Vicente and Benedi, Jose M.},
title = {Timed Parallel Automaton: A Mathematical Tool for Defining Highly Expressive Formal Workflows},
booktitle = {Proceedings of the 2011 Fifth Asia Modelling Symposium},
year = {2011},
series = {AMS '11},
pages = {56--61},
address = {Washington, DC, USA},
publisher = {IEEE Computer Society},
acmid = {2014151},
doi = {10.1109/AMS.2011.22},
isbn = {978-0-7695-4414-4},
keywords = {Workflow, Business Process, Automata Theory},
numpages = {6},
url = {http://dx.doi.org/10.1109/AMS.2011.22},
}

@InProceedings{Pileggi:2011:EMI:1978003.1978160, author = {Pileggi, Salvatore F. and Fern\'andez-Llatas, Carlos and Meneu, Teresa},
title = {Evaluating Mobility Impact on Wireless Sensor Network},
booktitle = {Proceedings of the 2011 UKSim 13th International Conference on Modellingand Simulation},
year = {2011},
series = {UKSIM '11},
pages = {461--466},
address = {Washington, DC, USA},
publisher = {IEEE Computer Society},
acmid = {1978160},
doi = {10.1109/UKSIM.2011.94},
isbn = {978-0-7695-4376-5},
keywords = {Wireless Sensor Network, Mobile Ad-hoc Networks, Network Modeling,Simulation, Evaluation},
numpages = {6},
url = {http://dx.doi.org/10.1109/UKSIM.2011.94},
}

@InProceedings{Sala:2011:III:2022539.2022565, author = {Sala, Pilar and Fern\'andez-Llatas, Carlos and Mochol\'i, Juan Bautistaand Presencia, Pablo and Naranjo, Juan Carlos},
title = {Implementation of the ISO/IEC 24756 for the interaction modelingof an AAL space},
booktitle = {Proceedings of the 6th international conference on Universal accessin human-computer interaction: context diversity - Volume Part III},
year = {2011},
series = {UAHCI'11},
pages = {210--219},
address = {Berlin, Heidelberg},
publisher = {Springer-Verlag},
acmid = {2022565},
isbn = {978-3-642-21665-7},
keywords = {AAL systems, ISO/IEC 24756, accessibility verifier, common accessibilityprofile, interaction modeling},
location = {Orlando, FL},
numpages = {10},
url = {http://dl.acm.org/citation.cfm?id=2022539.2022565},
}

@InProceedings{conf/icsoft/Fernandez-LlatasISPN11, author = {Fern\'andez-Llatas, Carlos and Ib\'a\~nez, Gema and Sala, Pilar andPileggi, Salvatore F. and Naranjo, Juan-Carlos},
title = {Mobile Cloud Computing Architecture for Ubiquitous Empowering ofPeople with Disabilities.},
booktitle = {ICSOFT (1)},
year = {2011},
editor = {Cuaresma, Mar\'ia Jos\'e Escalona and Shishkov, Boris and Cordeiro,Jos\'e},
pages = {377-382},
publisher = {SciTePress},
added-at = {2011-09-29T00:00:00.000+0200},
biburl = {http://www.bibsonomy.org/bibtex/27578215965832eab52d39ebdcc4d67d9/dblp},
crossref = {conf/icsoft/2011-1},
interhash = {8b23dbf4810d1a89b3bc00ae96f999db},
intrahash = {7578215965832eab52d39ebdcc4d67d9},
isbn = {978-989-8425-76-8},
keywords = {dblp},
timestamp = {2011-09-29T00:00:00.000+0200},
url = {http://dblp.uni-trier.de/db/conf/icsoft/icsoft2011-1.html#Fernandez-LlatasISPN11},
}

@InProceedings{conf/biostec/Fernandez-LlatasMBT11, author = {Fernandez-Llatas, Carlos and Meneu, Teresa and Bened\'i, Jos\'e-Migueland Traver, Vicente},
title = {Continuous Clinical Pathways Evaluation by using Automatic LearningAlgorithms.},
booktitle = {HEALTHINF},
year = {2011},
editor = {Traver, Vicente and Fred, Ana L. N. and Filipe, Joaquim and Gamboa,Hugo},
pages = {228-234},
publisher = {SciTePress},
added-at = {2011-09-29T00:00:00.000+0200},
biburl = {http://www.bibsonomy.org/bibtex/2379b183c3370144be5c44a47cdb4726e/dblp},
crossref = {conf/biostec/2011hi},
interhash = {05b82da4f8ba3083c6666126470770be},
intrahash = {379b183c3370144be5c44a47cdb4726e},
isbn = {978-989-8425-34-8},
keywords = {dblp},
timestamp = {2011-09-29T00:00:00.000+0200},
url = {http://dblp.uni-trier.de/db/conf/biostec/healthinf2011.html#Fernandez-LlatasMBT11},
}

@InProceedings{conf/isami/Navarro-SalvadorCFM11, author = {Navarro-Salvador, M. Amparo and S\'anchez-Calz\'on, Ana Bel\'en andFern\'andez-Llatas, Carlos and Meneu, Maria Teresa},
title = {Ambient Intelligence Based Architecture for Immersive Social Entertainment.},
booktitle = {ISAmI},
year = {2011},
editor = {Novais, Paulo and Preuveneers, Davy and Corchado, Juan M.},
volume = {92},
series = {Advances in Intelligent and Soft Computing},
pages = {227-231},
publisher = {Springer},
added-at = {2011-11-25T00:00:00.000+0100},
biburl = {http://www.bibsonomy.org/bibtex/23faef0135347865ac0bf0789adcea503/dblp},
crossref = {conf/isami/2011},
ee = {http://dx.doi.org/10.1007/978-3-642-19937-0_29},
interhash = {678e745a6a0d724dbbeca34f0f408f0d},
intrahash = {3faef0135347865ac0bf0789adcea503},
isbn = {978-3-642-19936-3},
keywords = {dblp},
timestamp = {2011-11-25T00:00:00.000+0100},
url = {http://dblp.uni-trier.de/db/conf/isami/isami2011.html#Navarro-SalvadorCFM11},
}

@InProceedings{2010ChoreographyMEDICON, author = {Carlos Fern\'andez-Llatas and Juan B. Mocholi and Carlos Sanchez and Pilar Sala and Juan Carlos Naranjo},
title = {Process choreography for Interaction simulation in Ambient Assisted Living environments},
booktitle = {Proceedings of XII Mediterranean Conference on Medical and Biological Engineering and Computing},
year = {2010},
owner = {carferll},
timestamp = {2010.06.16},
}

@InProceedings{MeneuPhealth2010, author = {Teresa Meneu and Antonio Martinez and Carlos Fern\'andez-Llatas andSergio Guillen},
title = {A model for professional support to innovative chronic conditionsmanagement},
booktitle = {pHealth 2010},
year = {2010},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{DBLP:conf/ic3k/MoyanoLF10, author = {Agustin Moyano and \'Oscar L\'azaro and Carlos Fern\'andez-Llatas},
title = {Semantic Sensor Network Architecture for Pro-active Risk Management in the Factories of the Future},
booktitle = {SSW},
year = {2010},
pages = {103-108},
bibsource = {DBLP, http://dblp.uni-trier.de},
crossref = {DBLP:conf/ic3k/2010ssw},
}

@InProceedings{DBLP:conf/ic3k/Fernandez-LlatasMMM10, author = {Carlos Fern\'andez-Llatas and Juan Bautista Mochol\'i and Agust\'inMoyano and Teresa Meneu},
title = {Semantic Process Choreography for Distributed Sensor Management},
booktitle = {SSW},
year = {2010},
pages = {32-37},
bibsource = {DBLP, http://dblp.uni-trier.de},
crossref = {DBLP:conf/ic3k/2010ssw},
}

@InCollection{raey, author = {Mochol\'i, J.B. and Sala, P. and Fern\'andez-Llatas, C. and Naranjo,J.C.},
title = {Ontology for Modeling Interaction in Ambient Assisted Living Environments},
booktitle = {XII Mediterranean Conference on Medical and Biological Engineeringand Computing 2010},
publisher = {Springer Berlin Heidelberg},
year = {2010},
editor = {Bamidis, PanagiotisD. and Pallikarakis, Nicolas},
volume = {29},
series = {IFMBE Proceedings},
pages = {655-658},
isbn = {978-3-642-13038-0},
doi = {10.1007/978-3-642-13039-7_165},
keywords = {Ontology; Modeling framework; AAL services; Accessibility validation;Human Computer Interaction},
url = {http://dx.doi.org/10.1007/978-3-642-13039-7_165},
}

Current trends in health management improvement demand the standardization of care protocols to achieve better quality and efficiency. The use of Clinical Pathways is an emerging solution for that problem. However, current Clinical Pathways are big manuals written in natural language and highly affected by human subjectivity. These problems make the deployment and dissemination of them extremely difficult in real practice environments. In this work, a complete computer based architecture to help the representation and execution of Clinical Pathways is suggested. Furthermore, the difficulties inherent to the design of formal Clinical Pathways in this way requires new specific design tools to help making the system useful. Process Mining techniques can help to automatically infer processes definition from execution samples. Yet, the classical Process Mining paradigm is not totally compatible with the Clinical Pathways paradigm. In this paper, a pattern recognition algorithm based in an evolution of the Process Mining classical paradigm is presented and evaluated as a solution to this situation. The proposed algorithm is able to infer Clinical Pathways from execution logs to support the design of Clinical Pathways.

@Article{fernandez-llatas_activity-based_2010, author = {Fernandez-Llatas, Carlos and Meneu, Teresa and Benedi, Jose Miguel and Traver, Vicente},
title = {Activity-based process mining for clinical pathways computer aided design},
journal = {32th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
year = {2010},
volume = {2010},
pages = {6178--6181},
issn = {1557-170X},
note = {{PMID:} 21097153},
abstract = {Current trends in health management improvement demand the standardization of care protocols to achieve better quality and efficiency. The use of Clinical Pathways is an emerging solution for that problem. However, current Clinical Pathways are big manuals written in natural language and highly affected by human subjectivity. These problems make the deployment and dissemination of them extremely difficult in real practice environments. In this work, a complete computer based architecture to help the representation and execution of Clinical Pathways is suggested. Furthermore, the difficulties inherent to the design of formal Clinical Pathways in this way requires new specific design tools to help making the system useful. Process Mining techniques can help to automatically infer processes definition from execution samples. Yet, the classical Process Mining paradigm is not totally compatible with the Clinical Pathways paradigm. In this paper, a pattern recognition algorithm based in an evolution of the Process Mining classical paradigm is presented and evaluated as a solution to this situation. The proposed algorithm is able to infer Clinical Pathways from execution logs to support the design of Clinical Pathways.},
doi = {10.1109/IEMBS.2010.5627760},
keywords = {Algorithms, Artificial Intelligence, Computer-Aided Design, Critical Pathways, Health Services, Humans, Reference Standards},
language = {eng},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{conf/ic3k/MeneuMFGT10, author = {Meneu, Teresa and Mart\'inez, Antonio and Fernandez-Llatas, Carlos and Gonzalez, Ainara and Traver, Vicente},
title = {Semantic Sensor Networks for Personalized Health Systems for Risk Prevention.},
booktitle = {SSW},
year = {2010},
editor = {Pileggi, Salvatore F. and Palau, Carlos E.},
pages = {95-102},
publisher = {SciTePress},
added-at = {2011-11-18T00:00:00.000+0100},
biburl = {http://www.bibsonomy.org/bibtex/2fdde3300e0244f5eb12108cbaafc5c27/dblp},
crossref = {conf/ic3k/2010ssw},
interhash = {47c6b3ccc9624977f52dc6cdde6975b9},
intrahash = {fdde3300e0244f5eb12108cbaafc5c27},
isbn = {978-989-8425-33-1},
keywords = {dblp},
timestamp = {2011-11-18T00:00:00.000+0100},
}

@Article{naranjo_modelling_2009, author = {Juan-Carlos Naranjo AND Carlos Fern\'andez-Llatas AND Pilar SalaAND Michael Hellenschmidt AND Franco Mercalli},
title = {A Modelling Framework for Ambient Assisted Living Validation},
journal = {LNCS: Universal Access in Human-Computer Interaction. Intelligentand Ubiquitous Interaction Environments ISSN 0302-9743},
year = {2009},
volume = {5615/2009},
pages = {228--237},
url = {http://link.springer.com/chapter/10.1007%2F978-3-642-02710-9_26},
}

@InProceedings{fernandez-llatas_workflow_2009, author = {Fern\'andez-Llatas, Carlos and L\'azaro, Juan Pablo and Bened\'i, Jose Miguel},
title = {Workflow Mining Application to Ambient Intelligence Behavior Modeling},
booktitle = {Universal Access in Human-Computer Interaction},
year = {2009},
volume = {5615},
series = {Lecture Notes in Computer Science},
pages = {160--167},
publisher = {Springer},
isbn = {978-3-642-02709-3},
owner = {carferll},
timestamp = {2013.10.28},
url = {http://link.springer.com/chapter/10.1007%2F978-3-642-02710-9_19},
}

@InProceedings{Meneu:2009:LAP:1510521.1510632, author = {Meneu, Teresa and Traver, Vicente and Fern\'{a}ndez, Carlos and Serafin,Riccardo and Dom\'{\i}nguez, David and Guill{\'e}n, Sergio},
title = {Life Assistance Protocols (LAP) - A Model for the Personalizationof Lifestyle Support for Health and Wellbeing},
booktitle = {Proceedings of the 2009 International Conference on eHealth, Telemedicine,and Social Medicine},
year = {2009},
series = {ETELEMED '09},
pages = {140--144},
address = {Washington, DC, USA},
publisher = {IEEE Computer Society},
acmid = {1510632},
doi = {10.1109/eTELEMED.2009.25},
isbn = {978-0-7695-3532-6},
keywords = {lifestyle, personal health systems, protocol, workflow, prevention,health promotion, motivation},
numpages = {5},
url = {http://dx.doi.org/10.1109/eTELEMED.2009.25},
}

@Article{fernandez-llatas_tpaengine_2008, author = {Carlos Fern\'andez-Llatas AND Carlos Sanchez AND Vicente Traver ANDJos\'e Miguel Bened\'i},
title = {TPAEngine: Un motor de Workflows basado en TPAs},
journal = {Ciencia y Tecnolog\'ia en la Frontera ISSN:1665-9775},
year = {2008},
volume = {E2008},
pages = {189--194},
}

@Article{fernandez-llatas_timed_2008, author = {Carlos Fern\'andez-Llatas AND Jose Miguel Bened\'i},
title = {Timed Parallel Automaton Learning in Workflow Mining problems},
journal = {Ciencia y Tecnolog\'ia en la Frontera ISSN:1665-9775},
year = {2008},
volume = {E2008},
pages = {181--188},
}

@Article{fernandez-llatas_workflow_2008, author = {Fern\'andez-Llatas, Carlos and Lazaro, Juan Pablo and Iba\~nez, Gema and Dominguez, David},
title = {Workflow Mining para el modelado individualizado del comportamiento humano en el contexto de la inteligencia ambiental},
journal = {Ciencia y Tecnolog\'ia en la Frontera},
year = {2008},
volume = {E2008},
issn = {1665-9775},
}

@Article{ibanez_sistema_2008, author = {Gema Iba\~nez AND Carlos Fern\'andez-Llatas AND Juan Pablo Lazaro AND Sergio Guillen},
title = {Sistema inteligente de apoyo a la emergencia con personas de movilidad reducida},
journal = {Ciencia y Tecnolog\'ia en la Frontera ISSN:1665-9775},
year = {2008},
volume = {E2008},
pages = {175--180},
}

@Article{mocholi_herramienta_2008, author = {Juan Bautista Mocholi AND David Dominguez AND Carlos Fern\'andez-LlatasAND Luigi Ianone},
title = {Herramienta de apoyo a la decisi\'on para la generaci\'on de menuspersonalizados},
journal = {Ciencia y Tecnolog\'ia en la Frontera ISSN:1665-9775},
year = {2008},
volume = {E2008},
pages = {126--131},
}

This paper introduces our preliminary results in the modeling of Life Assistance Protocols, a new vision of medical guidelines and protocols through the lenses of p-Health. In this context the patient's role in the process is emphasized, the actions to be performed less defined and not only clinical situations considered, but also healthier lifestyle promotion processes accounted for, where the person's preferences and motivations play a key role. We propose a complete framework, balancing on classical clinical guideline models and covering both the theoretical and the practical aspects of the problem, describing it from conceptualization to the execution environment.

@Article{dominguez_medical_2008, author = {Dominguez, David and Fern\'andez-Llatas, Carlos and Meneu, Teresa and Mochol\'i, Juan Bautista and Serafin, Riccardo},
title = {Medical guidelines for the patient: introducing the life assistance protocols},
journal = {Studies in health technology and informatics},
year = {2008},
volume = {139},
pages = {193--202},
issn = {0926-9630},
note = {PMID 18806328},
abstract = {This paper introduces our preliminary results in the modeling of Life Assistance Protocols, a new vision of medical guidelines and protocols through the lenses of p-Health. In this context the patient's role in the process is emphasized, the actions to be performed less defined and not only clinical situations considered, but also healthier lifestyle promotion processes accounted for, where the person's preferences and motivations play a key role. We propose a complete framework, balancing on classical clinical guideline models and covering both the theoretical and the practical aspects of the problem, describing it from conceptualization to the execution environment.},
doi = {10.3233/978-1-58603-873-1-193},
keywords = {Guidelines as Topic, Humans, Life Style, Risk Reduction Behavior,Self Care},
language = {eng},
owner = {carferll},
shorttitle = {Medical guidelines for the patient},
timestamp = {2013.10.28},
url = {http://ebooks.iospress.nl/publication/11798},
}

@Article{traver_lyra_2007, author = {Vicente Traver AND Susana Pomes AND Carlos Fern\'andez-Llatas ANDJose Conca AND Lucas Sanjuan AND Eduardo Roldan AND Javier BerrioAND Maria Jose Nodal AND Beatriz Albella AND Manuel Perez AND SergioGuillen},
title = {LYRA: Sistema de Gesti\'on Integrado para una Unidad de Hospitalizaci\'ona Domicilio},
journal = {I+S Informatica y Salud (ISSN 1579-8070)},
year = {2007},
volume = {2007},
pages = {20--24},
}

@Article{naranjo_care-paths_2006, author = {Juan Carlos Naranjo AND Carlos Fern\'andez-Llatas AND Susana PomesAND Bernardo Valdivieso},
title = {Care-Paths: Searching the Way to Implement Pathways},
journal = {Computers in Cardiology (ISSN 285-288)},
year = {2006},
volume = {33},
pages = {--},
}

@InProceedings{KAPPAX2006, author = {Carlos Fern\'andez-Llatas},
title = {Kappax: A Software coding methodology},
booktitle = {Workshop on Technologies for Healthcare and Healthy Lifestyle 2006},
year = {2006},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{LAPS2006, author = {Juan Bautista Mochol\'i and David Dominguez and Carlos Fern\'andez-Llatas},
title = {Towards an Environment under which Executing LAPs},
booktitle = {Workshop on Technologies for Healthcare and Healthy Lifestyle 2006},
year = {2006},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{HHU2006, author = {Lucas Sanju\'an and Susana Pom\'es and Javier Berrio and Carlos Fern\'andez-Llatas},
title = {Electronic Home Hospitalization Unit Distributed Management System},
booktitle = {Workshop on Technologies for Healthcare and Healthy Lifestyle 2006},
year = {2006},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{WFActividades06, author = {Carlos Fern\'andez-Llatas and Jose Miguel Benedi},
title = {Activity-Based Workflow Mining: A Theoretical framework},
booktitle = {Workshop On Technologies for Healthcare and Healthy Lifestyle ISBN:978-84-611-1311-8},
year = {2006},
institution = {University Politechnic of Valencia(Spain)},
isbn = {978-84-611-1311-8},
owner = {carferll},
timestamp = {2010.01.19},
}

@InProceedings{LYRACASEIB05, author = {Susana Pom\'es and Alejandro Usero and Lucas Sanju\'an and Carlos Fern\'andez-Llatas and Bernardo Valdivieso and Beatriz Albella and ManuelP\'erez and Vicente Traver and Sergio Guill\'en},
title = {Integraci\'on en el Hospital de un Sistema Distribu\'ido de Gesti\'on de Hospitalizaci\'on aDomicilio},
booktitle = {CASEIB 2005, XXIII Congreso Anual de la Sociedad Espa\~nola de Ingenier\'iaBiom\'edica},
year = {2005},
owner = {carferll},
timestamp = {2010.10.18},
}

@InProceedings{MHEALTH2004, author = {Emilio Coronado and Eduardo Mont\'on and Vicente Traver and Carlos Fern\'andez-Llatas and Juan Vi\~noles and J. Soliveres and M. Barber\'a},
title = {M-Health System For The Support Of The Post-Operational Control Of Patients},
booktitle = {Mediterranean Conference On Medical And Biolog\'ical Engineering 2004},
year = {2004},
owner = {carferll},
timestamp = {2013.10.28},
}

@Article{traver_sistemas_2004, author = {Vicente Traver AND Carlos Fern\'andez-Llatas AND Juan Carlos NaranjoAND Eduardo Mont\'on AND Sergio Guillen AND Bernardo Valdivieso},
title = {Sistemas m-health: la soluci\'on para las necesidades de una Unidadde Hospitalizaci\'on a Domicilio},
journal = {I+S Informatica y Salud (ISSN 1579-8070)},
year = {2004},
volume = {2004},
pages = {20--24},
url = {http://www.conganat.org/seis/is/is44/IS44_20.pdf},
}

@InProceedings{CASEIB2003, author = {Carlos Fern\'andez-Llatas and Juan Carlos Naranjo and Eduardo Mont\'on and Vicente Traver and Bernardo Valdivieso},
title = {Gesti\'on De Hospitalizaci\'on A Domicilio Distribuida Mediante Servicios Web},
booktitle = {XXI Congreso Anual De La Sociedad Espa\~nola De Ingenier\'ia Biom\'edica- CASEIB 2003},
year = {2003},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{TELEMED2003, author = {Vicente Traver and Eduardo Mont\'on and Carlos Fern\'andez-Llatasand Jose Millet and Antonio Cebri\'an and Sergio Guill\'en},
title = {Telemonitoring Device To Be Used In Fixed And Mobile Environments},
booktitle = {Telemed 2003 -Royal Society Of Medicine 2003},
year = {2003},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{Informed2002, author = {Carlos Fern\'andez-Llatas and Carlos de Alfonso and Ignacio Blanquer and Vicente Hernandez and Juan Carlos Naranjo and Vicente Traver},
title = {Sistema Teleasistencia Domiciliaria Y Teleradiolog\'ia Sobre PlataformasASP},
booktitle = {Informed 2002},
year = {2002},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{ETICA2002, author = {Carlos Fern\'andez-Llatas and Juan Miguel Garcia and Vicente Traver},
title = {Etica En Telemedicina},
booktitle = {VIII Jornadas Profesionales M\'edicas},
year = {2002},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{Caseib2002, author = {Eduardo Mont\'on and Vicente Traver and Carlos Fern\'andez-Llatasand Javier Cervera and Sergio Guill\'en},
title = {Sistema De Telemonitorizaci\'on Multifuncional Para Uso En ServiciosE-Health Y M-Health},
booktitle = {XX Congreso Anual De La Sociedad Espa\~nola De Ingenier\'ia Biom\'edica- CASEIB 2002},
year = {2002},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{Mobile2002, author = {Eduardo Mont\'on and Vicente Traver and Javier Cervera and CarlosFern\'andez-Llatas and Sergio Guill\'en},
title = {Mobile Telemonitoring System Over IP Networks},
booktitle = {II Symposium of Telemedicine 2002},
year = {2002},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{IDEAS2002, author = {Juan Carlos Naranjo and Carlos Fern\'andez-Llatas and Salvador Veraand Sergio Guill\'en and Bernardo Valdivieso},
title = {Proyecto Ideas: Sistemas De Informaci\'on Distribuido Para Una UnidadDe Hospitalizaci\'on Domiciliaria},
booktitle = {Congreso Nacional De Informatica Para La Salud (Inforsalud 2002)},
year = {2002},
owner = {carferll},
timestamp = {2013.10.28},
}

Nowadays, there are a very large number of patients that need specific health support at home. The deployment of broadband communication networks is making feasible the provision of home care services with a proper quality of service. This paper presents a telehomecare multimedia platform that runs over integrated services digital network and internet protocol using videoconferencing standards H.320 and H.323, and standard {TV} set for patient interaction. This platform allows online remote monitoring: {ECG}, heart sound, blood pressure. Usability, affordability, and interoperability were considered for the design and development of its hardware and software components. A first evaluation of technical and usability aspects were carried forward with 52 patients of a private clinic and 10 students in the University. Results show a high rate (mean = 4.33, standard deviation--{SD} = 1.63 in a five-points Likert scale) in the global perception of users on the quality of images, voice, and feeling of virtual presence.

@Article{guillen_multimedia_2002, author = {Guill\'en, S and Arredondo, M T and Traver, V and Garc\'ia, J M andFern\'andez-Llatas, Carlos},
title = {Multimedia telehomecare system using standard TV set},
journal = {IEEE transactions on bio-medical engineering},
year = {2002},
volume = {49},
number = {12},
pages = {1431--1437},
month = dec, issn = {0018-9294},
note = {PMID: 12542238},
abstract = {Nowadays, there are a very large number of patients that need specific health support at home. The deployment of broadband communication networks is making feasible the provision of home care services with a proper quality of service. This paper presents a telehomecare multimedia platform that runs over integrated services digital network and internet protocol using videoconferencing standards H.320 and H.323, and standard {TV} set for patient interaction. This platform allows online remote monitoring: {ECG},
heart sound, blood pressure. Usability, affordability, and interoperability were considered for the design and development of its hardware and software components. A first evaluation of technical and usability aspects were carried forward with 52 patients of a private clinic and 10 students in the University. Results show a high rate (mean = 4.33, standard deviation--{SD} = 1.63 in a five-points Likert scale) in the global perception of users on the quality of images, voice, and feeling of virtual presence.},
doi = {10.1109/TBME.2002.805457},
keywords = {Computer Communication Networks, Equipment Design, Female, Home Care Services, Hospital-Based, Humans, Internet, Medical Records Systems, Computerized, Monitoring, Physiologic, Multimedia, Physician-Patient Relations, Pilot Projects, Pregnancy, Remote Consultation, Telecommunications, Telemedicine, Television, User-Computer Interface},
language = {eng},
}

@InProceedings{CASEIB2001, author = {Carlos Fern\'andez-Llatas and Vicente Traver and Ignacio Basagoiti and Sergio Guill\'en and Salvador Vera},
title = {Provisi\'on De Servicios De Telemedicina En Entorno Campus Universitario},
booktitle = {Congreso Anual De La Sociedad Espa\~nola De Ingenieria Biom\'edica CASEIB2001},
year = {2001},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{MEDICON2001, author = {Vicente Espinosa and Carlos Fern\'andez-Llatas and Sergio Guill\'enand Vicente Traver},
title = {Telemedicina Para Soporte De La Actividad Asistencial En Ginecologia},
booktitle = {Medicon 2001 -IX Mediterranean Conference On Medical And BiologicalEngineering And Computing},
year = {2001},
owner = {carferll},
timestamp = {2013.10.28},
}

@InProceedings{Avicena2001, author = {Vicente Traver and Maria Teresa Arredondo and Sergio Guill\'en andJuan Miguel Garc\'ia and Carlos Fern\'andez-Llatas},
title = {Avicena: A Home Telecare Multimedia Platform},
booktitle = {Medicon 2001 -IXMediterranean Conference On Medical And BiologicalEngineering And Computing International Federation For Medical andBiological Engineering ISBN 953-184-023-7},
year = {2001},
owner = {carferll},
timestamp = {2010.10.15},
}

The availability of health care attention at the point of need is one of the key benefits of telemedicine. Home environment and working place are the two scenarios selected in this article to evaluate the impact of a televisit and teleconsultation service. 31 users from four different medical and patient groups participated in this study supported by European Commission {ATTRACT} project. The experiences, carried out in Madrid and Valencia Spanish sites, benefited from interactive broadband access networks to provide cost-effective telecare services. Key areas analyzed encompass systems usability, clinical outcomes, patients quality of care and infoethic issues. Services advantages were verified and compared both from patients and medical staff points of view. Main benefits pointed out refer to displacement reduction, better communication doctor/patient, provision of comfort or friendliness, more precise therapy follow-up and increases in patients sense of well being.

@Article{valero_impact_2001, author = {Valero, M A and Arredondo, M T and Guill\'en, S and Traver, V andFern\'andez-Llatas, Carlos and Basagoiti, I and del Nogal, F andGallar, P and Insausti, J},
title = {Impact of a broadband interactive televisit/teleconsultation servicefor residential and working environments},
journal = {Proceedings Annual Symposium AMIA},
year = {2001},
volume = {2001},
pages = {721-725},
issn = {1531-605X},
note = {PMID: 11825280},
abstract = {The availability of health care attention at the point of need is one of the key benefits of telemedicine. Home environment and working place are the two scenarios selected in this article to evaluate the impact of a televisit and teleconsultation service. 31 users from four different medical and patient groups participated in this study supported by European Commission {ATTRACT} project. The experiences, carried out in Madrid and Valencia Spanish sites, benefited from interactive broadband access networks to provide cost-effective telecare services. Key areas analyzed encompass systems usability, clinical outcomes, patients quality of care and infoethic issues. Services advantages were verified and compared both from patients and medical staff points of view. Main benefits pointed out refer to displacement reduction, better communication doctor/patient, provision of comfort or friendliness, more precise therapy follow-up and increases in patients sense of well being.},
keywords = {Attitude of Health Personnel, Home Care Services, Humans, OccupationalHealth Services, Patient Satisfaction, Remote Consultation, Spain,Telemedicine},
language = {eng},
}

@InProceedings{Campus2000, author = {Vicente Traver and Sergio Guillen and Ignacio Basagoiti and and CarlosFern\'andez-Llatas and Salvador Vera},
title = {Telemedicine Service Provision In A Campus Environment},
booktitle = {International Symposium On Telemedicine},
year = {2000},
owner = {carferll},
timestamp = {2010.10.15},
}