Marco Bertolini

Explainable Gradient Boosting Machine Learning for Predicting Early Functional Recovery and Hospital Discharge After Hip and Knee Arthroplasty

Findings indicate that gradient boosting models based on routinely collected clinical variables can provide interpretable and clinically useful predictions to support individualized rehabilitation planning and discharge management after lower-limb arthroplasty.