Machine Learning Patient Risk Prediction Microservice

Develop a scalable Flask microservice that uses pre-trained machine learning models to predict patient health risks in real-time. The API should accept patient medical history, demographic data, and current health metrics as input, and return risk probability scores with confidence intervals. Implement model versioning, A/B testing capabilities, and comprehensive logging for model performance tracking. Include robust input validation and support for multiple prediction models (cardiovascular risk, diabetes likelihood).