Interpretable Machine Learning for Predicting Anterior Uveitis in Axial Spondyloarthritis
The gradient boosting machine model predicts AU risk in axSpA patients, helping identify high-risk cases for early intervention and personalized treatment to prevent complications such as vision loss.
Authors
- Tiantian Zhang (ORCID: https://orcid.org/0000-0002-8174-0531)
- Hui Li (ORCID: https://orcid.org/0000-0002-4837-7515)
- Qin Guo (ORCID: https://orcid.org/0000-0001-7515-8193)
- Shufen Zhou (ORCID: https://orcid.org/0000-0003-1806-5075)
- Chengshan Guo
Institutions
- Apple (Israel) (IL)
- Shenzhen Bao'an District People's Hospital (CN)
- Shenzhen Second People's Hospital (CN)
- ZTE (United States) (US)
Publication Details
- Journal
- JCR Journal of Clinical Rheumatology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1097/rhu.0000000000002225
- Citations
- 1
- Primary Topic
- Spondyloarthritis Studies and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.67