Predicting Cardiovascular Disease Mortality: Leveraging Machine Learning for Comprehensive Assessment of Health and Nutrition Variables.

Martin-Morales, Agustin; Yamamoto, Masaki; Inoue, Mai; Vu, Thien; Dawadi, Research; Araki, Michihiro

Martin-Morales, Agustin; Yamamoto, Masaki; Inoue, Mai; Vu, Thien; Dawadi, Research; Araki, Michihiro.

Afiliación

Martin-Morales A; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Japan.
Yamamoto M; National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shinmachi, Suita 564-8565, Japan.
Inoue M; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Japan.
Vu T; National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shinmachi, Suita 564-8565, Japan.
Dawadi R; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Japan.
Araki M; National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shinmachi, Suita 564-8565, Japan.

Nutrients ; 15(18)2023 Sep 11.

Article en En | MEDLINE | ID: mdl-37764721

Palabras clave

SHAP; cardiovascular disease; dietary features; machine learning; nutrition; prediction model

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nutrients Año: 2023 Tipo del documento: Article País de afiliación: Japón

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