Medical Insurance Claim Fraud Detection System

Build a sophisticated Python-based fraud detection system for medical insurance claims using advanced anomaly detection techniques. Utilize TensorFlow for neural network modeling, pandas for data preprocessing, and create a comprehensive feature engineering pipeline that identifies suspicious claim patterns. The system must generate a risk score for each claim, provide explainable AI insights, and integrate with existing claims management systems. Include a detailed reporting mechanism that highlights potential fraudulent activities with statistical confidence.