Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea

BACKGROUND: Metabolic syndrome (MetS) is a complex condition that appears as a cluster of metabolic abnormalities, and is closely associated with the prevalence of various diseases. Early prediction of the risk of MetS in the middle-aged population provides greater benefits for cardiovascular diseas...

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Detalles Bibliográficos
Autores principales: Kim, Junho, Mun, Sujeong, Lee, Siwoo, Jeong, Kyoungsik, Baek, Younghwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985311/
https://www.ncbi.nlm.nih.gov/pubmed/35387629
http://dx.doi.org/10.1186/s12889-022-13131-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985311/
https://www.ncbi.nlm.nih.gov/pubmed/35387629
http://dx.doi.org/10.1186/s12889-022-13131-x

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