Longitudinal Patient Outcome Prediction System

Create a comprehensive longitudinal patient outcome prediction system that can track and forecast individual health trajectories across multiple chronic conditions. Develop a probabilistic graphical model that integrates time-series medical data, treatment histories, genetic predispositions, and environmental factors. The system must support dynamic risk reassessment, provide interpretable predictions, and generate personalized health intervention recommendations. Include techniques for handling missing data and demonstrating model uncertainty.