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Medical insurance claims are of organized crimes related to patients,physicians, diagnostic centers, and insurance providers, forming a chainreaction that must be monitored constantly. These kinds of frauds affect thefinancial growth of both insured people and health insurance companies. TheConvolution Neural Network architecture is used to detect fraudulent claimsthrough a correlation study of regression models, which helps to detect moneylaundering on different claims given by different providers. Supervised andunsupervised classifiers are used to detect fraud and non-fraud claims.

Correlating Medi-Claim Service by Deep Learning Neural Networks