Machine learning and statistical methods for predicting mortality in heart failure.

Mpanya, Dineo; Celik, Turgay; Klug, Eric; Ntsinjana, Hopewell

Mpanya, Dineo; Celik, Turgay; Klug, Eric; Ntsinjana, Hopewell.

Mpanya D; Department of Internal Medicine, Division of Cardiology, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand and the Charlotte Maxeke Johannesburg Academic Hospital, 17 Jubilee Road, Parktown, Johannesburg, Gauteng, 2193, South Africa. Dineo.Mpanya@wits.ac.za.
Celik T; Institute of Data Science , University of the Witwatersrand , Johannesburg, South Africa. Dineo.Mpanya@wits.ac.za.
Klug E; Faculty of Engineering and Built Environment, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa.
Ntsinjana H; Institute of Data Science , University of the Witwatersrand , Johannesburg, South Africa.

Heart Fail Rev ; 26(3): 545-552, 2021 05.

Article en En | MEDLINE | ID: mdl-33169338

Asunto(s)

Insuficiencia Cardíaca; Calidad de Vida; Humanos; Aprendizaje Automático; Volumen Sistólico; Función Ventricular Izquierda

Palabras clave

Deep learning; Heart failure; Machine learning; Models; Predict

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Calidad de Vida / Insuficiencia Cardíaca Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

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