Interactive Clinical Decision Support Learning Module

Create a modular Python application that simulates complex clinical decision-making scenarios for medical students using machine learning predictive models. Develop a system that presents randomized patient case studies, tracks student decision pathways, and provides immediate algorithmic feedback comparing student choices against evidence-based medical protocols. Integrate natural language processing to evaluate written reasoning and generate personalized learning recommendations.