Predictive Patient Risk Stratification Algorithm

Develop a machine learning pipeline using scikit-learn that predicts patient risk stratification for chronic disease progression. The model should integrate multiple data sources including electronic health records, genetic markers, lifestyle data, and historical treatment outcomes. Implement advanced feature engineering, handle missing data robustly, use ensemble methods like gradient boosting, and create an interpretable model with SHAP value explanations.