Causal inference framework for personalised b/tsDMARD selection in rheumatoid arthritis: ANSWER cohort validation
Kosuke Kita, Kosuke Ebina, Yuki Suzuki, Yuki Etani et autres
Selecting the optimal biologic or targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) for patients with rheumatoid arthritis remains challenging. We developed and externally validated a causal inference framework combining double machine learning-based causal forests with guideline-derived safety constraints. Using multi-centre registry data from …
jp (code pays fourni par la source)
0 citations
npj Digital Medicine