Patient Risk Stratification Machine Learning Platform

Create a comprehensive machine learning platform using XGBoost and scikit-learn that performs multi-dimensional patient risk stratification. The system must integrate electronic health records, genetic data, lifestyle factors, and historical treatment outcomes to generate personalized risk profiles. Develop a modular architecture that supports multiple risk assessment methodologies, provides interpretable machine learning insights, and can be easily integrated with existing healthcare information systems.