Metabolic Syndrome Prediction Models Using Machine Learning and Sasang Constitution Type

BACKGROUND: Machine learning may be a useful tool for predicting metabolic syndrome (MetS), and previous studies also suggest that the risk of MetS differs according to Sasang constitution type. The present study investigated the development of MetS prediction models utilizing machine learning metho...

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Detalles Bibliográficos
Autores principales: Park, Ji-Eun, Mun, Sujeong, Lee, Siwoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886522/
https://www.ncbi.nlm.nih.gov/pubmed/33628316
http://dx.doi.org/10.1155/2021/8315047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886522/
https://www.ncbi.nlm.nih.gov/pubmed/33628316
http://dx.doi.org/10.1155/2021/8315047

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