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

Key Points

• This research aims to predict early discontinuation of adalimumab in patients with rheumatoid arthritis using machine learning techniques.
• Utilized specialty pharmacy data to model patient behavior
• Applied Elastic Net regularized logistic regression for predictions
• Assessed the discriminative performance of the model
• The model effectively identified patients at risk of discontinuation
• High discriminative performance was observed
• Timely interventions could improve patient outcomes and reduce medication waste