Complex Chronic Disease Progression Modeling

Develop an advanced predictive model for tracking and forecasting complex chronic disease progression using multivariate time-series analysis. Create a methodology that can integrate disparate data sources including genetic markers, treatment histories, lifestyle data, and longitudinal health records. Implement sophisticated machine learning techniques like recurrent neural networks or transformer models to capture long-term temporal dependencies. The model must provide both predictive capabilities and interpretable insights for healthcare professionals.