Title Not Provided in Snippet
The episode compares five methods—Recurrence Enrichment, NTK Sensitivity, LightGBM-SHAP, Elastic Net, and LLM Semantic—for selecting features from EHR data to predict Opioid Use Disorder (OUD) risk. The discussion highlights the need for balance between predictive power and stability. NTK Sensitivity was found to offer the best overall balance of accuracy and stability.