Machine Learning Patient Risk Prediction Engine

Architect a machine learning prediction system using PHP's Laravel framework and Python integration via machine learning libraries. Design a system that can ingest patient historical data, calculate risk scores for chronic disease progression, and generate predictive models with at least 85% accuracy. Include a secure data pipeline that anonymizes patient information during model training and provides configurable risk threshold alerts.