HIPAA-Compliant Patient Risk Stratification Dashboard

Design a secure, end-to-end JavaScript dashboard for patient risk prediction using machine learning models, specifically focusing on predictive health analytics while maintaining strict HIPAA compliance. Utilize TensorFlow.js for client-side predictive modeling, implement differential privacy techniques to anonymize patient data, and create interactive visualizations using D3.js that dynamically update risk scores. The solution must include robust encryption for all data transfers, client-side model inference, and a React-based frontend that can securely process medical risk factors without exposing individual patient information. Include error handling for medical data anomalies and implement role-based access control for different healthcare professional permission levels.