On the Use of Machine Learning Techniques and Non-Invasive Indicators for Classifying and Predicting Cardiac Disorders.

Ospina, Raydonal; Ferreira, Adenice G O; de Oliveira, Hélio M; Leiva, Víctor; Castro, Cecilia

Ospina, Raydonal; Ferreira, Adenice G O; de Oliveira, Hélio M; Leiva, Víctor; Castro, Cecilia.

Afiliación

Ospina R; Department of Statistics, Universidade Federal da Bahia, Salvador 40110-909, Brazil.
Ferreira AGO; Department of Statistics, CASTLab, Universidade Federal de Pernambuco, Recife 50670-901, Brazil.
de Oliveira HM; Department of Statistics, CASTLab, Universidade Federal de Pernambuco, Recife 50670-901, Brazil.
Leiva V; Department of Statistics, CASTLab, Universidade Federal de Pernambuco, Recife 50670-901, Brazil.
Castro C; School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362807, Chile.

Biomedicines ; 11(10)2023 Sep 22.

Article en En | MEDLINE | ID: mdl-37892978

Palabras clave

biological indicators; cardiopathy; classification models; data science; machine learning; resource efficiency

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Biomedicines Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza

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