A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.

Bernardini, Michele; Doinychko, Anastasiia; Romeo, Luca; Frontoni, Emanuele; Amini, Massih-Reza

Bernardini, Michele; Doinychko, Anastasiia; Romeo, Luca; Frontoni, Emanuele; Amini, Massih-Reza.

Afiliación

Bernardini M; Department of Information Engineering (DII), Università Politecnica delle Marche, Ancona, Italy. Electronic address: m.bernardini@pm.univpm.it.
Doinychko A; Grenoble Informatics Laboratory, Université Grenoble Alpes, Saint-Martin-d'Hères, France. Electronic address: anastasiia.doinychko@univ-grenoble-alpes.fr.
Romeo L; Department of Economics and Law, University of Macerata, Macerata, Italy. Electronic address: luca.romeo@unimc.it.
Frontoni E; Department of Political Sciences, Communication and International Relations, University of Macerata, Macerata, Italy. Electronic address: emanuele.frontoni@unimc.it.
Amini MR; Grenoble Informatics Laboratory, Université Grenoble Alpes, Saint-Martin-d'Hères, France. Electronic address: massih-reza.amini@univ-grenoble-alpes.fr.

Comput Biol Med ; 163: 107188, 2023 09.

Article en En | MEDLINE | ID: mdl-37393785

Asunto(s)

Registros Electrónicos de Salud; Aprendizaje Automático; Humanos; Interpretación Estadística de Datos

Palabras clave

Data imputation; Electronic Health Record; Generative Adversarial Network; Machine Learning; Predictive medicine

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article

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