International Journal of Communication and Information Technology

P-ISSN: 2707-661X, E-ISSN: 2707-6628
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2023, Vol. 4, Issue 1, Part A

Insurance fraud detection: Pre-emptive analysis and prevention


Author(s): Saksham Shankar

Abstract:
Insurance companies have been facing the problem of false insurance claims, costing resources and money in detecting fraudulent claims among the many true ones. Many times, fraudulent claims are mistaken for genuine claims, and genuine ones mistaken for fraudulent claims. This paper aims to develop a Machine Learning algorithm to detect fraudulent claims and distinguish them with genuine claims. This project also aims to compare other algorithms and see which one is the most effective to deal with this growing problem that the insurance industry is facing.


DOI: 10.33545/2707661X.2023.v4.i1a.58

Pages: 34-45 | Views: 433 | Downloads: 240

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International Journal of Communication and Information Technology
How to cite this article:
Saksham Shankar. Insurance fraud detection: Pre-emptive analysis and prevention. Int J Commun Inf Technol 2023;4(1):34-45. DOI: 10.33545/2707661X.2023.v4.i1a.58
International Journal of Communication and Information Technology

International Journal of Communication and Information Technology

International Journal of Communication and Information Technology
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