García Gómez, Juan Miguel; Tortajada Velert, Salvador; Sáez Silvestre, Carlos(Editorial Universitat Politècnica de València, 2019-07-09)
Los datos se han convertido en un torrente que fluye en todos los ámbitos de la sociedad. La aplicación de la Inteligencia Artificial al ámbito de la salud es posiblemente el de mayor impacto social, por las implicaciones ...
Asensio Cuesta, Sabina; Sánchez-García, Ángel; Conejero, J. Alberto; Sáez Silvestre, Carlos; Rivero-Rodriguez, Alejandro; Garcia-Gomez, Juan M(MDPI AG, 2019-02-01)
[EN] Quality of life (QoL) indicators are now being adopted as clinical outcomes in clinical trials on cancer treatments. Technology-free daily monitoring of patients is complicated, time-consuming and expensive due to the ...
Sáez Silvestre, Carlos(Universitat Politècnica de València, 2011-10-11)
Los Sistemas de Ayuda a la Decisión Clínica (CDSS) actuales son juzgados por su flexibilidad y adaptabilidad. Se describe el desarrollo de un CDSS distribuido basado en agentes, un motor de clasificación basado en ...
Sáez Silvestre, Carlos; Robles Viejo, Montserrat; García Gómez, Juan Miguel(SAGE Publications (UK and US), 2014-08-04)
[EN] Biomedical data may be composed of individuals generated from distinct, meaningful
sources. Due to possible contextual biases in the processes that generate data,
there may exist an undesirable and unexpected ...
Perez-Benito, Francisco Javier; Conejero, J. Alberto; Sáez Silvestre, Carlos; Garcia-Gomez, Juan M; Navarro-Pardo, Esperanza; Florencio, Lidiane L.; Fernández-de-las-Peñas, César(Wiley-Blackwell Publishing, 2020-03)
[EN] Background Migraine is a heterogeneous condition with multiple clinical manifestations. Machine learning algorithms permit the identification of population groups, providing analytical advantages over other modeling ...
Zhou, Lexin; Romero-Garcia, Nekane; Martínez-Miranda, Juan; Conejero, J. Alberto; Garcia-Gomez, Juan M; Sáez Silvestre, Carlos(JMIR Publications Inc., 2022-03)
[EN] Background: The COVID-19 pandemic has led to an unprecedented global health care challenge for both medical institutions and researchers. Recognizing different COVID-19 subphenotypes-the division of populations of ...
Perez-Benito, Francisco Javier; Sáez Silvestre, Carlos; Conejero, J. Alberto; Tortajada, Salvador; Valdivieso, Bernardo; Garcia-Gomez, Juan M(Public Library of Science, 2019-08-07)
[EN] Objective
To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years.
Materials and methods
Temporal Variability Assessment (TVA) based on ...
Hu, B; Croitoru, M; Roset, R; Dupplaw, D; Lurgi, M; Dasmahapatra, S; Lewis, P; Martínez Miranda, Juan Crisóforo; Sáez Silvestre, Carlos(Cambridge University Press, 2011)
In this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the distributed nature of ...