Machine Learning Risk Prediction Algorithm for Chronic Diseases

Develop a generalized machine learning model architecture that predicts chronic disease risk using heterogeneous medical data sources. The model must: (1) Support feature engineering from electronic health records, genetic data, and lifestyle tracking, (2) Implement federated learning to preserve patient privacy, (3) Achieve minimum 85% accuracy across multiple disease categories, and (4) Include explainable AI components that generate human-readable risk factor explanations.