Machine Learning-Enhanced Patient Risk Prediction Database

Design a specialized database architecture using MongoDB that integrates machine learning prediction models for patient risk assessment. Create a system that can dynamically update risk scoring models based on incoming patient data, with built-in versioning for ML model iterations. Implement a real-time feature engineering pipeline that can automatically extract and normalize clinical risk factors from unstructured medical records.