Adaptive Clinical Decision Support Database

Develop a dynamic database system that can support real-time clinical decision support by integrating patient data, medical guidelines, and machine learning predictive models. Create a Python solution that can dynamically update decision support rules, track model performance, and provide transparent reasoning for medical recommendations. Implement a flexible schema that can handle complex medical knowledge representations.