Multi-Dimensional Patient Risk Stratification Framework

Create an advanced risk stratification system that can dynamically assess patient health risks across multiple dimensions including genetic predisposition, lifestyle factors, environmental influences, and historical medical data. Develop a modular machine learning architecture that can integrate diverse data sources, implement ensemble learning techniques, and provide interpretable risk scores with actionable recommendations.