ENSEMBLE MODEL FOR FRAUD DETECTION IN HEALTH INSURANCE CLAIMS BASED ON TRANSACTION DATASET AND MEMBER BEHAVIOR USING LOF, IFOREST, AND Z-SCORE
Fraud in health insurance claims is a significant challenge that affects the financial stability and sustainability of insurance companies' services. The main contribution of this study is to design a fraud detection framework in health insurance claims based on unsupervised learning with an en...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87576 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |