Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study

BACKGROUND AND OBJECTIVE: Clinical characteristics of obesity are heterogenous, but current classification for diagnosis is simply based on BMI or metabolic healthiness. The purpose of this study was to use machine learning to explore a more precise classification of obesity subgroups towards inform...

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Detalles Bibliográficos
Autores principales: Lin, Ziwei, Feng, Wenhuan, Liu, Yanjun, Ma, Chiye, Arefan, Dooman, Zhou, Donglei, Cheng, Xiaoyun, Yu, Jiahui, Gao, Long, Du, Lei, You, Hui, Zhu, Jiangfan, Zhu, Dalong, Wu, Shandong, Qu, Shen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317220/
https://www.ncbi.nlm.nih.gov/pubmed/34335479
http://dx.doi.org/10.3389/fendo.2021.713592

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317220/
https://www.ncbi.nlm.nih.gov/pubmed/34335479
http://dx.doi.org/10.3389/fendo.2021.713592

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