Patient Readmission Risk Prediction System

Design a sophisticated machine learning system for predicting hospital patient readmission risks. Develop a comprehensive predictive model that integrates multiple data sources including electronic health records, treatment histories, and socioeconomic factors. Implement advanced feature engineering techniques, create an interpretable risk scoring mechanism, and develop a validation framework that demonstrates model performance across diverse patient populations.