Patient Risk Prediction Machine Learning Pipeline

Construct a comprehensive risk prediction system using TensorFlow.js that analyzes patient historical data to generate probabilistic health risk assessments. Develop machine learning models capable of processing complex medical datasets, implement multi-factor risk scoring algorithms, and create a secure, scalable microservice architecture for real-time risk computation. Include comprehensive data anonymization and ensure compliance with medical data protection regulations.