Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study.

Yu, Cheng-Sheng; Lin, Yu-Jiun; Lin, Chang-Hsien; Wang, Sen-Te; Lin, Shiyng-Yu; Lin, Sanders H; Wu, Jenny L; Chang, Shy-Shin

Yu, Cheng-Sheng; Lin, Yu-Jiun; Lin, Chang-Hsien; Wang, Sen-Te; Lin, Shiyng-Yu; Lin, Sanders H; Wu, Jenny L; Chang, Shy-Shin.

Afiliação

Yu CS; Department of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
Lin YJ; Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Lin CH; Department of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
Wang ST; Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Lin SY; Department of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
Lin SH; Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Wu JL; Department of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
Chang SS; Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

JMIR Med Inform ; 8(3): e17110, 2020 Mar 23.

Article em En | MEDLINE | ID: mdl-32202504

Palavras-chave

controlled attenuation parameter technology; decision tree; machine learning; metabolic syndrome

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Taiwan

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