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

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

BackgroundMetabolic 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 populat...

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Bibliographic Details
Main Authors: Xiujuan Deng, Lin Qiu, Xin Sun, Hui Li, Zejiao Chen, Min Huang, Fangxing Hu, Zhenyi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Endocrinology
Subjects:
metabolic syndrome
metabolic unhealthy
body composition
machine learning
SHapley additive exPlanations
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1228300/full

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https://www.frontiersin.org/articles/10.3389/fendo.2023.1228300/full

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