Probabilistic Patient Risk Stratification Engine

Develop a sophisticated probabilistic risk stratification system that uses machine learning and advanced statistical modeling to predict patient health risks. Create a Python-based solution using Bayesian networks, pandas for data preprocessing, and scikit-learn for model training. Implement a flexible architecture that can incorporate multiple data sources, handle uncertainty, and provide interpretable risk scores for different medical conditions.