HIPAA-Compliant Patient Risk Stratification Algorithm

Design a Python-based predictive risk stratification model using pandas and scikit-learn that anonymizes patient data while identifying high-risk individuals for chronic disease intervention. The model must include feature engineering for medical history, demographic data, and laboratory results, with strict data privacy controls. Implement differential privacy techniques to ensure no individual patient can be re-identified. Include a comprehensive validation framework that demonstrates model performance without compromising patient confidentiality.