Personalized Patient Risk Stratification Engine

Develop a comprehensive machine learning risk stratification system using XGBoost and scikit-learn that predicts patient health risks across multiple chronic conditions. Create a modular architecture that can integrate diverse data sources including genetic markers, medical history, lifestyle factors, and real-time health monitoring data. Implement a explainable AI framework that provides clear risk factor explanations and personalized intervention recommendations. Include advanced feature engineering and model interpretability techniques.