Real-Time Patient Risk Scoring Microservice

Create an Express.js microservice that continuously monitors patient health data streams and generates dynamic risk scores using configurable machine learning algorithms. The service should securely ingest data from multiple sources (wearables, EHR systems), apply complex risk calculation models, and trigger automated alerts for high-risk patients. Implement robust authentication, rate limiting, and comprehensive logging for compliance tracking.