Interpretable Ensemble Machine Learning Prediction of Nonadherence and the Risk of Nonpersistence of Targeted Disease-Modifying Antirheumatic Agents in Older Adults With Rheumatoid Arthritis
We developed ML models predicting nonadherence and nonpersistence of b/tsDMARDs for older adults with RA. There is potential to leverage ML for understanding patients' behavior of utilizing b/tsDMARDs treatment with a goal towards personalized medicine in RA.
Authors
- Yinan Huang
- Sandeep Agarwal
Institutions
- Baylor College of Medicine (US)
- University of Mississippi (US)
Publication Details
- Journal
- Clinical Therapeutics
- Published
- 2026-02-21
- DOI
- https://doi.org/10.1016/j.clinthera.2026.01.007
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.00