Predicting early discontinuation of adalimumab in patients with rheumatoid arthritis using machine learning: A specialty pharmacy–based approach

Predictive modeling using routinely collected specialty pharmacy data can identify patients with RA at risk of early adalimumab discontinuation. In particular, the Elastic Net regularized logistic regression model offered high discriminative performance and may support pharmacist-led follow-up and timely interventions to reduce medication waste and improve patient outcomes.