Healthcare Machine Learning Model Deployment Automation

Create a comprehensive Python framework for automated machine learning model deployment in healthcare using MLflow, Docker, and Kubernetes. Design a system that automatically trains predictive models for patient risk stratification, validates model performance against clinical benchmarks, packages models in containerized environments, and manages version control and rollback mechanisms. Implement robust logging, monitoring, and compliance tracking for each model deployment.