Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases.

Pagán, Josué; Risco-Martín, José L; Moya, José M; Ayala, José L

Pagán, Josué; Risco-Martín, José L; Moya, José M; Ayala, José L.

Afiliación

Pagán J; Dpt. of Computer Architecture and Automation, Complutense University of Madrid, Madrid 28040, Spain; CCS-Center for Computational Simulation, Campus de Montegancedo UPM, Boadilla del Monte 28660, Spain. Electronic address: jpagan@ucm.es.
Risco-Martín JL; Dpt. of Computer Architecture and Automation, Complutense University of Madrid, Madrid 28040, Spain. Electronic address: jlrisco@ucm.es.
Moya JM; LSI-Integrated Systems Laboratory, Technical University of Madrid, Madrid 28040, Spain; CCS-Center for Computational Simulation, Campus de Montegancedo UPM, Boadilla del Monte 28660, Spain. Electronic address: josem@die.upm.es.
Ayala JL; Dpt. of Computer Architecture and Automation, Complutense University of Madrid, Madrid 28040, Spain. Electronic address: jayala@ucm.es.

J Biomed Inform ; 62: 136-47, 2016 08.

Article en En | MEDLINE | ID: mdl-27260782

Asunto(s)

Algoritmos; Enfermedad Crónica; Simulación por Computador; Predicción; Humanos; Evaluación de Síntomas

Palabras clave

Feature; Identification; Migraine; Modeling; Prediction; State-space; WBSN

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Enfermedad Crónica Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2016 Tipo del documento: Article

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