Using Machine Learning to Predict Complications in Pregnancy: A Systematic Review.

Bertini, Ayleen; Salas, Rodrigo; Chabert, Steren; Sobrevia, Luis; Pardo, Fabián

Bertini, Ayleen; Salas, Rodrigo; Chabert, Steren; Sobrevia, Luis; Pardo, Fabián.

Afiliação

Bertini A; Metabolic Diseases Research Laboratory (MDRL), Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley (CIISTe Aconcagua), Center for Biomedical Research (CIB), Universidad de Valparaíso, Valparaiso, Chile.
Salas R; PhD Program Doctorado en Ciencias e Ingeniería para La Salud, Faculty of Medicine, Universidad de Valparaíso, Valparaiso, Chile.
Chabert S; School of Biomedical Engineering, Faculty of Engineering, Universidad de Valparaíso, Valparaiso, Chile.
Sobrevia L; Centro de Investigación y Desarrollo en INGeniería en Salud - CINGS, Universidad de Valparaíso, Valparaiso, Chile.
Pardo F; Instituto Milenio Intelligent Healthcare Engineering, Valparaíso, Chile.

Front Bioeng Biotechnol ; 9: 780389, 2021.

Article em En | MEDLINE | ID: mdl-35127665

Palavras-chave

artificial intelligence; machine learning; perinatal complications; prediction model; predictive tool; pregnancy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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