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Listar por autor "García Gómez, Juan Miguel"

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A Computational Framework for Planning Therapeutical Sessions aimed to Support the Prevention and Treatment of Mental Health Disorders using Emotional Virtual Agents

Bresó Guardado, Adrián (Universitat Politècnica de València, 2016-05-16)

[EN] Interaction is defined as the realization of a reciprocal action between two or more people or things. Particularly in computer science, the term interaction refers to the discipline that studies the exchange of ...
A Game-Theory method to design job rotation schedules to prevent musculoskeletal disorders Based on workers preferences and competencies

Asensio-Cuesta, Sabina; Garcia-Gomez, Juan M; Poza-Lujan, Jose-Luis; Conejero, J. Alberto (MDPI AG, 2019-12)

[EN] Job rotation is an organizational strategy based on the systematic exchange of workers between jobs in a planned manner according to specific criteria. This study presents the GS-Rot method, a method based on Game ...
A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents

Sáez Silvestre, Carlos; García Gómez, Juan Miguel; Vicente Robledo, Javier; Tortajada Velert, Salvador; Luts, Jan; Dupplaw, David; Van Huffel, Sabine; Robles Viejo, Montserrat (Cambridge University Press (CUP), 2011-09)

[EN] New biomedical technologies enable the diagnosis of brain tumours by using non-invasive methods. HealthAgents is a European Union-funded research project that aims to build an agent-based distributed decision support ...
A happiness degree predictor using the conceptual data structure for deep learning architectures

Perez-Benito, Francisco Javier; Villacampa-Fernandez, Patricia; Conejero, J. Alberto; Garcia-Gomez, Juan M; NAVARRO-PARDO, ESPERANZA (Elsevier, 2019-01)

[EN] Background and Objective: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the ...
A methodology for implementing risk management and decision support in computerized clinical practice guidelines using evidence-based utility estimation

Castillo Orellano, Ernesto (Universitat Politècnica de València, 2017-01-10)

[EN] Current Clinical Practice Guidelines (CPGs) are mainly supported by evidence-based medicine findings to avoid unjustified practice variations. Nevertheles, they lack the management of risk and uncertainty. Besides, ...
A Novel Approach to Improve the Planning of Adaptive and Interactive Sessions for the treatment of Major Depression

Bresó Guardado, Adrián; Martínez Miranda, Juan Crisóforo; Fuster García, Elíes; García Gómez, Juan Miguel (Elsevier, 2016-03)

[EN] Human Computer Interaction (HCI) is a research field which aims to improve the relationship between users and interactive computer systems. A main objective of this research area is to make the user experience more ...
A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study

Asensio-Cuesta, Sabina; Blanes-Selva, Vicent; Conejero, J. Alberto; Frigola, Ana; Portolés, Manuel G.; Merino-Torres, Juan Francisco; Rubio Almanza, Matilde; Syed-Abdul, Shabbir; Li, Yu-Chuan (Jack); Vilar-Mateo, Ruth; Fernández-Luque, Luis; Garcia-Gomez, Juan M (JMIR Publications Inc., 2021-04)

[EN] Background: Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health ...
A user-centered chatbot to identify and interconnect individual, social and environmental risk factors related to overweight and obesity

Asensio-Cuesta, Sabina; Blanes-Selva, Vicent; Conejero, J. Alberto; Portolés, Manuel; Garcia-Gomez, Juan M. (Taylor & Francis, 2022-01-02)

[EN] The objective of this study was to assess the feasibility of using a user-centered chatbotfor collecting linked data to study overweight and obesity causes ina target population. In total 980 people participated in ...
Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study

Vicente Robledo, Javier; Fuster García, Elíes; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Davies, Nigel; Natarajan, Kal; Wilson, Martin; Grundy, Richard G.; Wesseling, Pieter; Monleón, Daniel; Celda, Bernardo; Robles, Montserrat; Peet, Andrew C. (Elsevier, 2013-02)

Aims: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain tumours in a multi-national study. Our hypotheses are (1) that automated cla ...
Adaptación a C++ del algoritmo de cuantificación de parámetros de perfusión

Peris Sánchez, Joan Daniel (Universitat Politècnica de València, 2016-07-20)

El uso de MATLAB, como herramienta de software matemático, se ha extendido en los campos de la ingeniería y la ciencia, por lo que es frecuente que muchos algoritmos de cálculo se escriban en MATLAB, con su lenguaje de ...
An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems

Sáez Silvestre, Carlos; Bresó Guardado, Adrián; Vicente Robledo, Javier; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Elsevier, 2013-03)

The success of Clinical Decision Support Systems (CDSS) greatly depends on its capability of being integrated in Health Information Systems (HIS). Several proposals have been published up to date to permit CDSS gathering ...
Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach

Garcia-Gomez, Juan M; de la Torre Díez, Isabel; Vicente Robledo, Javier; Robles Viejo, Montserrat; Lopez-Coronado, Miguel; Rodrigues, Joel J. (SAGE Publications, 2014-03)

[EN] Mobile health (m-health) apps can bring health prevention and promotion to the general population. The main purpose of this article is to analyze different m-health apps for a broad spectrum of consumers by means of ...
Análisis de datos de Microarrays

González Maestre, José (Universitat Politècnica de València, 2010-09-28)
Análisis de señales biomédicas para la gestión y control de la diabetes 1

Fenoll Malonda, Héctor (Universitat Politècnica de València, 2015-03-23)

[ES] La diabetes es una enfermedad crónica que afecta a una gran parte de la población mundial, que aparece debido a que el páncreas no fabrica la cantidad de insulina que el cuerpo necesita. Por ello, las personas con ...
Análisis y especificación de requisitos de software médico para misiones de exploración espacial. Caso práctico en especificación de un sistema de ayuda a la decisión de emergencias médicas bajo los requisitos de la NASA

Muñoz Gil, Miguel Alejandro (Universitat Politècnica de València, 2021-09-14)

[ES] El principal objetivo de este proyecto es estudiar los primeros pasos y requisitos necesarios para el desarrollo de software espacial, para ello se realiza un estudio de la metodología de desarrollo de software de las ...
Análisis y predicción de la tendencia al rechazo de riñón por perfil genético basado en SNP's

Segura Roda, Laura (Universitat Politècnica de València, 2011-09-21)

El riñón es uno de los órganos encargados de excretar las sustancias tóxicas y seleccionar aquellas útiles, devolviéndolas al organismo. El ser humano dispone de 2 riñones y, a pesar de poder vivir con un único riñón si ...
Applying probabilistic temporal and multi-site data quality control methods to a public health mortality registry in Spain: A systematic approach to quality control of repositories

Sáez Silvestre, Carlos; Zurriaga, Oscar; Pérez-Panadés, Jordi; Melchor, Inma; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Oxford University Press (OUP), 2016-04-23)

OBJECTIVE: To assess the variability in data distributions among data sources and over time through a case study of a large multisite repository as a systematic approach to data quality (DQ). MATERIALS AND METHODS: Novel ...
Automated Brain Tumor biopsy prediction using single-labeling cDNA Microarrays-based gene expression profiling

Castells, Xavier; Garcia-Gomez, Juan M; Navarro, Alfredo; Acebes, Juan José; Godino, Óscar; Boluda, Susana; Barceló, Anna; Robles, Montserrat; Ariño, Joaquín; Arús, Carles (Lippincott Williams & Wilkins, 2009-12)

[EN] Aims: Gene signatures obtained from microarray experiments may be of use to improve the prediction of brain tumor diagnosis. Nevertheless, automated and objective prediction with accuracy comparable to or better than ...
Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

Juan Albarracín, Javier; Fuster García, Elíes; Manjón Herrera, José Vicente; Robles Viejo, Montserrat; Aparici, F.; Marti-Bonmati, L.; García Gómez, Juan Miguel (Public Library of Science, 2015-05-15)

Automatic brain tumour segmentation has become a key component for the future of brain tumour treatment. Currently, most of brain tumour segmentation approaches arise from the supervised learning standpoint, which requires ...
Benign /malignant classifier of soft tissue tumors using MR imaging

Garcia-Gomez, Juan M; Vidal, César; Martí-Bonmatí, Luís; Galant, Joaquín; Sans, Nicolas; Robles Viejo, Montserrat; Casacuberta Nolla, Francisco (Springer-Verlag, 2004-03)

[EN] This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: To ...