Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning

BACKGROUND: Metabolic syndrome (Mets) is considered a global epidemic of the 21st century, predisposing to cardiometabolic diseases. This study aims to describe and compare the body composition profiles between metabolic healthy (MH) and metabolic unhealthy (MU) phenotype in normal and obesity popul...

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Detalles Bibliográficos
Autores principales: Deng, Xiujuan, Qiu, Lin, Sun, Xin, Li, Hui, Chen, Zejiao, Huang, Min, Hu, Fangxing, Zhang, Zhenyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497941/
https://www.ncbi.nlm.nih.gov/pubmed/37711898
http://dx.doi.org/10.3389/fendo.2023.1228300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497941/
https://www.ncbi.nlm.nih.gov/pubmed/37711898
http://dx.doi.org/10.3389/fendo.2023.1228300

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