Prescription Drug Interaction Risk Prediction System

Build a machine learning system in Python that predicts potential drug interactions using historical prescription databases. Utilize pandas for data preprocessing, scikit-learn for predictive modeling, and NetworkX for creating interaction graphs. Develop a sophisticated algorithm that considers drug chemical structures, patient demographics, and historical interaction data to generate risk scores. Include a comprehensive reporting mechanism that provides interpretable results and confidence intervals for potential interactions.