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ORCIDJuan Miguel García-Gómez
Juan M. García-Gómez
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- affiliation: Universitat Politècnica de València (UPV), Camino de Vera, Spain
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2020 – today
- 2024
[j35]Pablo Ferri
, Vincenzo Lomonaco, Lucia C. Passaro, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Carlos Sáez, Juan M. García-Gómez:
Deep continual learning for medical call incidents text classification under the presence of dataset shifts. Comput. Biol. Medicine 175: 108548 (2024)- [j34]Sabina Asensio-Cuesta, Angel Sánchez-García, Teresa Soria Comes, Inmaculada Maestu, Maria Martín Ureste, J. Alberto Conejero, Juan M. García-Gómez:
Testing Lung Cancer Patients' and Oncologists' Experience with the Lalaby App for Monitoring the Quality of Life through Mobile Sensors and Integrated Questionnaires. Int. J. Hum. Comput. Interact. 40(3): 640-650 (2024) - [j33]F. Javier Gil-Terrón, Pablo Ferri, Víctor Montosa-i-Micó, María Gómez Mahiques, Carles Lopez-Mateu, Pau Martí, Juan M. García-Gómez, Elies Fuster-García:
Exploring the Trade-Off between generalist and specialized Models: A center-based comparative analysis for glioblastoma segmentation. Int. J. Medical Informatics 191: 105604 (2024) - [c24]Juan M. García-Gómez, Vicent Blanes-Selva, Ascensión Doñate-Martínez:
Proposing an AI Passport as a Mitigating Action of Risk Associated to Artificial Intelligence in Healthcare. MIE 2024: 547-551 - 2023
- [j32]Pablo Ferri Borreda, Nekane Romero-Garcia, Rafael Badenes, David Lora-Pablos, Teresa García Morales, Agustín Gómez De La Camara, Juan M. García-Gómez, Carlos Sáez:
Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study. Comput. Methods Programs Biomed. 242: 107803 (2023) - [i3]Juan M. García-Gómez, Vicent Blanes-Selva, José Carlos de Bartolomé Cenzano, Jaime Cebolla-Cornejo, Ascensión Doñate-Martínez:
Functional requirements to mitigate the Risk of Harm to Patients from Artificial Intelligence in Healthcare. CoRR abs/2309.10424 (2023) - 2022
- [j31]Vicent Blanes-Selva, Ascensión Doñate-Martínez, Gordon Linklater, Juan M. García-Gómez:
Complementary frailty and mortality prediction models on older patients as a tool for assessing palliative care needs. Health Informatics J. 28(2): 146045822210925 (2022) - [c23]Marta Durá, Angel Sánchez-García, Carlos Sáez, Fátima Leal, Adriana E. Chis, Horacio González-Vélez, Juan M. García-Gómez:
Towards a Computational Approach for the Assessment of Compliance of ALCOA+ Principles in Pharma Industry. MIE 2022: 755-759 - [c22]Pablo Ferri Borreda, Carlos Sáez, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Juan M. García-Gómez:
Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations. MIE 2022: 859-863 - 2021
- [j30]Pablo Ferri Borreda, Carlos Sáez, Antonio Felix de Castro, Javier Juan-Albarracín, Vicent Blanes-Selva, Purificación Sánchez-Cuesta, Juan M. García-Gómez:
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch. Artif. Intell. Medicine 117: 102088 (2021) - [j29]Fátima Leal, Adriana E. Chis, Simon Caton, Horacio González-Vélez, Juan M. García-Gómez, Marta Durá, Angel Sánchez-García, Carlos Sáez, Anthony Karageorgos, Vassilis C. Gerogiannis, Apostolos Xenakis, Efthymios N. Lallas, Theodoros Ntounas, Eleni Vasileiou, Georgios Mountzouris, Barbara Otti, Penelope Pucci, Rossano Papini, David Cerrai, Mariola Mier:
Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production. Big Data Res. 24: 100172 (2021) - [j28]Ricardo García-de-León-Chocano, Carlos Sáez, Verónica Muñoz-Soler, Antonio Oliver-Roig, Ricardo García-de-León-González, Juan Miguel García-Gómez:
Robust estimation of infant feeding indicators by data quality assessment of longitudinal electronic health records from birth up to 18 months of life. Comput. Methods Programs Biomed. 207: 106147 (2021) - [j27]Vicent Blanes-Selva, Vicente Ruiz-García, Salvador Tortajada, José-Miguel Benedí, Bernardo Valdivieso, Juan M. García-Gómez:
Design of 1-year mortality forecast at hospital admission: A machine learning approach. Health Informatics J. 27(1): 146045822098758 (2021) - [j26]Carlos Sáez, Nekane Romero, J. Alberto Conejero, Juan M. García-Gómez:
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset. J. Am. Medical Informatics Assoc. 28(2): 360-364 (2021) - [j25]Lucia A. Carrasco-Ribelles, Jose Ramón Pardo-Mas, Salvador Tortajada, Carlos Sáez, Bernardo Valdivieso, Juan M. García-Gómez:
Predicting morbidity by local similarities in multi-scale patient trajectories. J. Biomed. Informatics 120: 103837 (2021) - [j24]Javier Juan-Albarracín, Elies Fuster-García, Alfons Juan, Juan M. García-Gómez:
Non-local spatially varying finite mixture models for image segmentation. Stat. Comput. 31(1): 3 (2021) - 2020
- [c21]Argyro Mavrogiorgou, Athanasios Kiourtis, Ilias Maglogiannis, Dimosthenis Kyriazis, Antonio De Nigro, Vicent Blanes-Selva, Juan M. García-Gómez, Andreas Menychtas, Maroje Soric, Gregor Jurak, Mitja Lustrek, Anton Gradisek, Thanos Kosmidis, Sokratis Nifakos, Konstantinos Perakis, Dimitrios Miltiadou, Parisis Gallos:
CrowdHEALTH: An e-Health Big Data Driven Platform towards Public Health Policies. ICT4AWE 2020: 241-249 - [c20]Vicent Blanes-Selva, Salvador Tortajada, Ruth Vilar, Bernardo Valdivieso, Juan M. García-Gómez:
Machine Learning-Based Identification of Obesity from Positive and Unlabelled Electronic Health Records. MIE 2020: 864-868 - [i2]Juan M. García-Gómez:
Basic principles and concept design of a real-time clinical decision support system for autonomous medical care on missions to Mars based on adaptive deep learning. CoRR abs/2010.07029 (2020)
2010 – 2019
- 2019
- [j23]Francisco Javier Pérez-Benito, Patricia Villacampa-Fernández, J. Alberto Conejero, Juan M. García-Gómez, Esperanza Navarro-Pardo:
A happiness degree predictor using the conceptual data structure for deep learning architectures. Comput. Methods Programs Biomed. 168: 59-68 (2019) - [j22]Carlos Sáez, Siaw-Teng Liaw, Eizen Kimura, Pascal Coorevits, Juan M. García-Gómez:
Guest editorial: Special issue in biomedical data quality assessment methods. Comput. Methods Programs Biomed. 181 (2019) - [j21]Javier Juan-Albarracín, Elies Fuster-García, Germán A. García-Ferrando, Juan Miguel García-Gómez:
ONCOhabitats: A system for glioblastoma heterogeneity assessment through MRI. Int. J. Medical Informatics 128: 53-61 (2019) - [c19]Javier Juan-Albarracín, Elies Fuster-García, María del Mar Álvarez-Torres, Eduard Chelebian, Juan M. García-Gómez:
ONCOhabitats Glioma Segmentation Model. BrainLes@MICCAI (1) 2019: 295-303 - [i1]Vicent Blanes-Selva, Vicente Ruiz-García, Salvador Tortajada, José-Miguel Benedí, Bernardo Valdivieso, Juan Miguel García-Gómez:
Design of one-year mortality forecast at hospital admission based: a machine learning approach. CoRR abs/1907.09474 (2019) - 2018
- [j20]Carlos Sáez, Juan Miguel García-Gómez:
Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds. Int. J. Medical Informatics 119: 109-124 (2018) - [j19]Miguel Enrique Iglesias Martínez, Juan M. García-Gómez, Carlos Sáez, Pedro Fernández de Córdoba, J. Alberto Conejero:
Feature Extraction and Similarity of Movement Detection during Sleep, Based on Higher Order Spectra and Entropy of the Actigraphy Signal: Results of the Hispanic Community Health Study/Study of Latinos. Sensors 18(12): 4310 (2018) - 2017
- [c18]Pablo Ferri Borreda, Carlos Sáez, Juan Miguel García-Gómez:
Discovering Data Source Stability Patterns in Biomedical Repositories Based on Simplicial Projections from Probability Distribution Distances. CBMS 2017: 600-605 - 2016
- [j18]Ricardo García-de-León-Chocano, Verónica Muñoz-Soler, Carlos Sáez, Ricardo García-de-León-González, Juan Miguel García-Gómez:
Construction of quality-assured infant feeding process of care data repositories: Construction of the perinatal repository (Part 2). Comput. Biol. Medicine 71: 214-222 (2016) - [j17]Adrián Bresó, Juan Martínez-Miranda, Cristina Botella, Rosa María Baños, Juan Miguel García-Gómez:
Usability and acceptability assessment of an empathic virtual agent to prevent major depression. Expert Syst. J. Knowl. Eng. 33(4): 297-312 (2016) - [j16]Adrián Bresó, Juan Martínez-Miranda, Elies Fuster-García, Juan Miguel García-Gómez:
A novel approach to improve the planning of adaptive and interactive sessions for the treatment of Major Depression. Int. J. Hum. Comput. Stud. 87: 80-91 (2016) - [j15]Carlos Sáez, Oscar Zurriaga, Jordi Pérez-Panadés, Inma Melchor, Montserrat Robles, Juan Miguel García-Gómez:
Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories. J. Am. Medical Informatics Assoc. 23(6): 1085-1095 (2016) - [c17]Javier Juan-Albarracín, Elies Fuster-García, Juan Miguel García-Gómez:
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma. BrainLes@MICCAI 2016: 43-51 - [c16]Juan Ortiz-Pla, Elies Fuster-García, Javier Juan-Albarracín, Juan Miguel García-Gómez:
GBM Modeling with Proliferation and Migration Phenotypes: A Proposal of Initialization for Real Cases. SASHIMI@MICCAI 2016: 65-74 - 2015
- [j14]Ricardo Garcí, Carlos Sáez, Verónica Muñoz-Soler, Ricardo García-de-León-González, Juan M. García-Gómez:
Construction of quality-assured infant feeding process of care data repositories: definition and design (Part 1). Comput. Biol. Medicine 67: 95-103 (2015) - [j13]Carlos Sáez, Pedro Pereira Rodrigues, João Gama, Montserrat Robles, Juan Miguel García-Gómez:
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality. Data Min. Knowl. Discov. 29(4): 950-975 (2015) - [j12]Elies Fuster-García, Adrián Bresó, Juan Martínez-Miranda, Javier Rosell-Ferrer, Colin Matheson, Juan Miguel García-Gómez:
Fusing actigraphy signals for outpatient monitoring. Inf. Fusion 23: 69-80 (2015) - 2014
- [j11]Carlos Sáez, Luis Martí-Bonmatí, Angel Alberich-Bayarri, Montserrat Robles, Juan Miguel García-Gómez:
Randomized pilot study and qualitative evaluation of a clinical decision support system for brain tumour diagnosis based on SV 1H MRS: Evaluation as an additional information procedure for novice radiologists. Comput. Biol. Medicine 45: 26-33 (2014) - [j10]Juan Miguel García-Gómez, Isabel de la Torre Díez, Javier Vicente, Montserrat Robles, Miguel López Coronado, Joel J. P. C. Rodrigues:
Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach. Health Informatics J. 20(1): 74-84 (2014) - [j9]Borja Martínez-Pérez, Isabel de la Torre Díez, Miguel López Coronado, Beatriz Sainz de Abajo, Montserrat Robles, Juan Miguel García-Gómez:
Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review. J. Medical Syst. 38(1): 4 (2014) - [c15]Dionisio Acosta, Juan Miguel García-Gómez:
A decision-theoretic planning approach for clinical practice guideline modelling. BHI 2014: 197-200 - [c14]Dana Petcu, Horacio González-Vélez, Bogdan Nicolae, Juan Miguel García-Gómez, Elies Fuster-García, Craig Sheridan:
Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications. Euro-Par Workshops (2) 2014: 26-37 - [c13]Juan Martínez-Miranda, Adrián Bresó, Juan Miguel García-Gómez:
Look on the Bright Side: A Model of Cognitive Change in Virtual Agents. IVA 2014: 285-294 - [p1]Juan Martínez-Miranda, Adrián Bresó, Juan Miguel García-Gómez:
Modelling Two Emotion Regulation Strategies as Key Features of Therapeutic Empathy. Emotion Modeling 2014: 115-133 - 2013
- [j8]Juan Miguel García-Gómez, Juan Gómez-Sanchís, Pablo Escandell-Montero, Elies Fuster-García, Emilio Soria-Olivas:
Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. Comput. Biol. Medicine 43(11): 1863-1869 (2013) - [j7]Carlos Sáez, Adrián Bresó, Javier Vicente, Montserrat Robles, Juan Miguel García-Gómez:
An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems. Comput. Methods Programs Biomed. 109(3): 239-249 (2013) - [j6]Carlos Fernández-Llatas, José-Miguel Benedí, Juan Miguel García-Gómez, Vicente Traver:
Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes. Sensors 13(11): 15434-15451 (2013) - [c12]Carlos Sáez, Montserrat Robles, Juan Miguel García-Gómez:
Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data. EMBC 2013: 3226-3229 - [c11]Adrián Bresó, Alfonso Pérez, Javier Juan-Albarracín, Juan Martínez-Miranda, Montserrat Robles, Juan Miguel García-Gómez:
Creation of Creative Work Teams using Multi-Agent based Social Simulation. ICAART (1) 2013: 211-218 - [c10]Elies Fuster-García, Javier Juan-Albarracín, Adrián Bresó, Juan Miguel García-Gómez:
Monitoring changes in daily actigraphy patterns of free-living patients. IWBBIO 2013: 685-693 - 2012
- [c9]Juan Martínez-Miranda, Adrián Bresó, Juan Miguel García-Gómez:
Modelling Therapeutic Empathy in a Virtual Agent to Support the Remote Treatment of Major Depression. ICAART (2) 2012: 264-269 - [c8]Javier Vicente, Salvador Tortajada, Elies Fuster-García, Juan Miguel García-Gómez, Montserrat Robles:
An audit method suited for decision support systems for clinical environment. IEEE Conf. of Intelligent Systems 2012: 281-288 - 2011
- [j5]Salvador Tortajada, Elies Fuster-García, Javier Vicente, Pieter Wesseling, Franklyn A. Howe, Margarida Julià-Sapé, Ana-Paula Candiota, Daniel Monleón, Àngel Moreno-Torres, Jesús Pujol, John R. Griffiths, Alan Wright, Andrew Peet, M. Carmen Martínez-Bisbal, Bernardo Celda, Carles Arús, Montserrat Robles, Juan Miguel García-Gómez:
Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis. J. Biomed. Informatics 44(4): 677-687 (2011) - [j4]Carlos Sáez, Juan Miguel García-Gómez, Javier Vicente, Salvador Tortajada, Jan Luts, David Dupplaw, Sabine Van Huffel, Montserrat Robles:
A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents. Knowl. Eng. Rev. 26(3): 283-301 (2011) - [c7]Carlos Fernández-Llatas, Juan Miguel García-Gómez, Javier Vicente, Juan-Carlos Naranjo, Montserrat Robles, José-Miguel Benedí, Vicente Traver:
Behaviour patterns detection for persuasive design in Nursing Homes to help dementia patients. EMBC 2011: 6413-6417
2000 – 2009
- 2009
- [j3]Horacio González-Vélez, Mariola Mier, Margarida Julià-Sapé, Theodoros N. Arvanitis, Juan Miguel García-Gómez, Montserrat Robles, Paul H. Lewis, Srinandan Dasmahapatra, David Dupplaw, Andrew Peet, Carles Arús, Bernardo Celda, Sabine Van Huffel, Magí Lluch i Ariet:
HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis. Appl. Intell. 30(3): 191-202 (2009) - [c6]Javier Vicente, Juan Miguel García-Gómez, Salvador Tortajada, Alfredo T. Navarro, Franklyn A. Howe, Andrew Peet, Margarida Julià-Sapé, Bernardo Celda, Pieter Wesseling, Magí Lluch i Ariet, Montserrat Robles:
Ranking of Brain Tumour Classifiers Using a Bayesian Approach. IWANN (1) 2009: 1005-1012 - 2007
- [c5]Madalina Croitoru, Bo Hu, Srinandan Dasmahapatra, Paul H. Lewis, David Dupplaw, Alex Gibb, Margarida Julià-Sapé, Javier Vicente, Carlos Sáez, Juan Miguel García-Gómez, Roman Roset, Francesc Estanyol, Xavier Rafael Palou, Mariola Mier:
Conceptual Graphs Based Information Retrieval in HealthAgents. CBMS 2007: 618-623 - [c4]Juan Miguel García-Gómez, Montserrat Robles, Sabine Van Huffel, Alfons Juan-Císcar:
Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data. IbPRIA (2) 2007: 266-273 - [c3]Juan Miguel García-Gómez, Salvador Tortajada, Javier Vicente, Carlos Sáez, Xavier Castells, Jan Luts, Margarida Julià-Sapé, Alfons Juan-Císcar, Sabine Van Huffel, Anna Barceló, Joaquín Ariño, Carles Arús, Montserrat Robles:
Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. IWANN 2007: 1012-1019 - 2005
- [j2]Ana Conesa, Stefan Götz, Juan Miguel García-Gómez, Javier Terol, Manuel Talón, Montserrat Robles:
Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinform. 21(18): 3674-3676 (2005) - [j1]Juan Miguel García-Gómez, José-Miguel Benedí, Javier Vicente, Montserrat Robles:
Corpus based learning of stochastic, context-free grammars combined with Hidden Markov Models for tRNA modelling. Int. J. Bioinform. Res. Appl. 1(3): 305-318 (2005) - 2004
- [c2]Javier Vicente, Juan Miguel García-Gómez, César Vidal, Luis Martí-Bonmatí, Aurora del Arco, Montserrat Robles:
SOC: A Distributed Decision Support Architecture for Clinical Diagnosis. ISBMDA 2004: 96-104 - [c1]Ana Conesa, Stefan Götz, Juan Miguel García-Gómez, Montserrat Robles, Manuel Talón:
Blast2GO: A Universal Annotation and Visualization Tool for Functional Genomics Research. Spanish Bioinformatics Conference 2004: 211
Coauthor Index
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