Machine Learning Patient Risk Prediction Framework

Develop a type-safe machine learning prediction framework in TypeScript for patient risk assessment. Create a modular system that supports multiple predictive models, implements compile-time type checking for medical feature vectors, handles model versioning, and provides a flexible pipeline for training and inference. Include robust error handling, support for model explainability, and integration with popular ML libraries using TypeScript generics.