Healthcare Fraud Detection Machine Learning System

Create an advanced machine learning system for detecting potential healthcare and insurance fraud using anomaly detection algorithms and complex data analysis techniques. Develop a distributed processing pipeline that can analyze millions of claims, identify suspicious patterns, and generate detailed investigation reports. Implement a flexible rule engine that can adapt to evolving fraud techniques and support multiple data sources.