Correlating Medi- Claim Service by Deep Learning Neural Networks

• URL: http://arxiv.org/abs/2308.04469v1
• Date: Tue, 8 Aug 2023 07:40:21 GMT
• Title: Correlating Medi- Claim Service by Deep Learning Neural Networks
• Authors: Jayanthi Vajiram, Negha Senthil, Nean Adhith.P
• Abstract summary: Medical insurance claims are of organized crimes related to patients, physicians, diagnostic centers, and insurance providers. The Convolution Neural Network architecture is used to detect fraudulent claims through a correlation study of regression models. Supervised and unsupervised classifiers are used to detect fraud and non-fraud claims.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Medical insurance claims are of organized crimes related to patients, physicians, diagnostic centers, and insurance providers, forming a chain reaction that must be monitored constantly. These kinds of frauds affect the financial growth of both insured people and health insurance companies. The Convolution Neural Network architecture is used to detect fraudulent claims through a correlation study of regression models, which helps to detect money laundering on different claims given by different providers. Supervised and unsupervised classifiers are used to detect fraud and non-fraud claims.

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