Advanced Patient Risk Stratification Pipeline

Create a comprehensive data analytics pipeline that performs multi-dimensional patient risk stratification using heterogeneous healthcare data sources. Develop a methodology that combines electronic health records, genetic data, lifestyle factors, and historical treatment outcomes to generate a holistic risk score. Implement advanced feature selection techniques to identify the most predictive variables while maintaining interpretability. The solution must include robust data cleaning, feature engineering, and a machine learning model with explainable AI capabilities.