Machine Learning Patient Outcome Prediction Framework

Design a type-safe machine learning prediction framework specifically for healthcare outcome modeling. Create generic TypeScript interfaces that can represent different medical datasets, with strict type enforcement for feature engineering and model training. Implement a flexible pipeline that supports multiple prediction algorithms while maintaining compile-time type safety. The framework must handle diverse medical data types and provide robust type checking for model inputs and outputs.