Machine Learning Patient Risk Prediction Workflow

Build an end-to-end automated machine learning workflow using scikit-learn and MLflow that predicts patient health risks based on comprehensive medical history. The pipeline should automatically preprocess medical data, train multiple predictive models, perform hyperparameter tuning, and generate interpretable risk assessment reports. Implement model versioning, automatic retraining schedules, and create a Flask API for real-time risk prediction deployment.