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Original Article

AI-Driven Medical Fund Verification System to Detect and Prevent Fraudulent Treatment Requests

  • Paper ID 1059
  • Volume 7, Issue 2
  • Pages 172-176
  • Published Online: March-April 2026
  • 10 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Dr. K. Karuppusamy1
  • M. Gowri2
  • P. Powlin3

1 Professor & Head, Department of Computer Science and Engineering, RVS College of Engineering & Technology, Coimbatore, Tamilnadu, India. 2 Assistant Professor, Department of Computer Science and Engineering, RVS College of Engineering & Technology, Coimbatore, Tamilnadu, India. 3 PG Student, Department of Computer Science and Engineering, RVS College of Engineering & Technology, Coimbatore, Tamilnadu, India.

Article Information

Published Online
March-April 2026
Pages
172-176
Article Type
Original Article
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References

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Things J., Oct. 2023.
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9. J. Katz and Y. Lindell, Introduction to Modern Cryptography. Boca Raton, FL, USA : CRC Press, 2020.
10. A. Kosba, A. Miller, E. Shi, Z. Wen, and C. Papamanthou, “Hawk: The blockchain model of cryptography and privacy-preserving
smart contracts,” in Proc. IEEE Symp. Security Privacy (S&P). San Jose, CA, USA, 2016, pp. 839–858.
11. P. C. Tang, J. S. Ash, D. W. Bates, J. M. Overhage, and D. Z. Sands, “Personal health records: Definitions, benefits, and strategies for
overcoming barriers to adoption,” J. Amer. Med. Inform. Assoc., vol. 13, no. 2, pp. 121–126, Mar. 2006.
12. B. Tellenbach, “Identity-based cryptography,” in Trends in Data Protection and Encryption Technologies. Cham, Switzerland :
Springer, 2023, pp. 59–6
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