Machine learning for screening and predicting the risk of developing uveitis in juvenile idiopathic arthritis
This study established a predictive model using routine clinical indicators to assess the risk of uveitis in JIA patients.
Authors
- Junmei Zhang
- J. Deng (ORCID: https://orcid.org/0000-0002-1220-2916)
- Shipeng Li (ORCID: https://orcid.org/0000-0002-2549-7493)
- Chao Li (ORCID: https://orcid.org/0000-0002-1950-0190)
- Caifeng Li (ORCID: https://orcid.org/0000-0002-8248-7347)
- Xiaohua Tan (ORCID: https://orcid.org/0000-0002-4969-394X)
- Weiying Kuang
- Li Li (ORCID: https://orcid.org/0009-0005-9824-1631)
Institutions
- Capital Medical University (CN)
- Beijing Children’s Hospital (CN)
Publication Details
- Journal
- Pediatric Rheumatology
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1186/s12969-025-01148-6
- Primary Topic
- Ocular Diseases and Behçet’s Syndrome
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Capital Medical University
- Beijing Children's Hospital, Capital Medical University