Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes
BRI is a significant predictor of LMM in patients with obesity and diabetes. The random forest model demonstrated strong performance and offers a practical tool for early LMM detection, supporting clinical decision-making and personalized interventions.
Authors
- Hui Sheng (ORCID: https://orcid.org/0000-0003-1430-3224)
- Yujie Jing
- Jiaying Ge
- Siqi Sun
- Jiangping Zeng
- Huihui Ma
- Chunhua Qian
- Ran Cui (ORCID: https://orcid.org/0000-0003-4386-3140)
- Shen Qu
Institutions
- Tongji University (CN)
- Soochow University (CN)
- Jinan Central Hospital (CN)
- Second Affiliated Hospital of Soochow University (CN)
- Shanghai Tenth People's Hospital (CN)
- First Affiliated Hospital of Soochow University (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Lipids in Health and Disease
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1186/s12944-025-02577-8
- Citations
- 5
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 5.82
Funders
- National Natural Science Foundation of China