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Sequence embeddings help to identify fraudulent cases in healthcare insurance
[article]
2019
arXiv
pre-print
Fraud causes substantial costs and losses for companies and clients in the finance and insurance industries. Examples are fraudulent credit card transactions or fraudulent claims. It has been estimated that roughly 10 percent of the insurance industry's incurred losses and loss adjustment expenses each year stem from fraudulent claims. The rise and proliferation of digitization in finance and insurance have lead to big data sets, consisting in particular of text data, which can be used for
arXiv:1910.03072v1
fatcat:zw4gmd3hdfck7o6aoy6gt7w4hi