Chronic Disease Risk Stratification Algorithm

Create a multi-dimensional risk stratification framework for predicting chronic disease progression using heterogeneous health data sources. Develop a modular algorithm that can integrate electronic health records, genetic markers, lifestyle data, and population health metrics. The solution must provide a probabilistic risk score with confidence intervals, support clinical decision-making, and be interpretable by healthcare professionals. Include comprehensive feature engineering techniques and demonstrate model explainability using SHAP (SHapley Additive exPlanations) values.