Elucidating osteoporosis response signatures in rheumatoid arthritis using explainable machine learning ensembles
The developed interpretable ML model shows promise for screening osteoporosis risk in patients with RA. Its ability to identify individual risk factors highlights its potential to facilitate personalized prevention and management strategies, pending further validation.
Authors
- Jiafen Liao
- Kaibin Lin
- Zheng Wang
- Qiyuan Luo
- Yiyue Chen
- Shu Li
- Fen Li
- Bing Zhou
- Zijian Zhou
Institutions
- Central South University (CN)
- Changsha Medical University (CN)
- Second Xiangya Hospital of Central South University (CN)
- Hunan First Normal University (CN)
Publication Details
- Journal
- BMC Musculoskeletal Disorders
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1186/s12891-026-09526-1
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.00