Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes

Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes

Abstract Background and aims Low muscle mass (LMM) is a critical complication in patients with obesity and diabetes, exacerbating metabolic and cardiovascular risks. Novel obesity indices, such as the body roundness index (BRI), conicity index, and relative fat mass, have shown promise for assessing...

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Bibliographic Details
Main Authors: Jiaying Ge, Siqi Sun, Jiangping Zeng, Yujie Jing, Huihui Ma, Chunhua Qian, Ran Cui, Shen Qu, Hui Sheng
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Lipids in Health and Disease
Subjects:
Low muscle mass
Diabetes
Obesity
NHANES
Machine learning
Online Access:https://doi.org/10.1186/s12944-025-02577-8
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https://doi.org/10.1186/s12944-025-02577-8

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