Finding Fraud Indicators in Medical Insurance Claims
summary
The talk addresses detecting fraud in claimed losses for medical insurance by automating checks that insurers now do manually. It discusses using machine learning on growing insurance claim datasets to identify suspicious claims so experts don’t have to review every case.
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chapters (10)
- 0:00Introduction
- 3:00Medical insurance fraud
- 7:58Model evolution
- 11:12Data structure and issues
- 15:52Text cleaning and processing
- 18:03Analysis pipeline
- 21:39Service grouping into cases
- 24:50Model validation and metrics
- 27:42Results and business impact
- 29:33Q&A
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