Machine Learning Risk Prediction Model Architecture

Architect a scalable machine learning system for predicting patient health risks using multiple data sources. Design a feature engineering pipeline that can integrate electronic health records, genetic data, lifestyle tracking, and real-time wearable sensor information. Create a modular ML architecture that supports transfer learning, handles missing data gracefully, and provides interpretable risk scores with confidence intervals.