Machine Learning Risk Prediction API for Chronic Diseases

Build a sophisticated machine learning API using Django REST Framework that predicts chronic disease risk based on patient health metrics. Develop a modular architecture supporting multiple predictive models (logistic regression, random forest, neural networks) with dynamic model selection based on input data characteristics. Implement robust feature engineering, cross-validation pipelines, and provide confidence intervals for predictions. Create a comprehensive logging system that tracks model performance, data drift, and prediction explanations while maintaining strict HIPAA compliance.