Real-Time Patient Risk Prediction Algorithm

Develop a machine learning pipeline that predicts patient health risks using streaming medical telemetry data. Create an algorithm that can ingest multiple data sources (wearables, EHR, genetic markers) with less than 50ms latency. Implement feature engineering techniques that handle missing data and provide confidence intervals for predictions. Include a strategy for model retraining and versioning.