Research
ML + Business Rules for Fraud Detection (CAS)
Integrating machine-learning models with business-rule triggers to detect unusual patterns in health-insurance claims.
Health-insurance fraud costs the industry billions annually. This work integrates machine-learning models with business-rule triggers to identify unusual claim patterns and flag them for investigation — a combination that improved performance across all models tested.