Machine Learning Risk Stratification for Chronic Conditions

Develop a machine learning classification framework to stratify patient populations into risk tiers for chronic disease management. Use ensemble learning techniques combining logistic regression, random forests, and gradient boosting to predict potential high-risk patient groups. Implement cross-validation strategies that ensure model performance across diverse demographic segments while maintaining interpretability for clinical decision-makers.