A Large Language Model Framework for Intelligent Insurance Claim Automation and Fraud Detection

Authors

  • Santosh Kumar

Keywords:

Large Language Models, Insurance Claim Automation, Fraud Detection, Natural Language Processing, Anomaly Detection, Intelligent Document Processing.

Abstract

The insurance industry, a cornerstone of global financial stability, is undergoing a profoundtransformation driven by artificial intelligence. Traditional claim processing remains a labor intensive, time-consuming

References

J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding," in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 2019, pp. 4171–4186.

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Published

2024-05-20

How to Cite

Santosh Kumar. (2024). A Large Language Model Framework for Intelligent Insurance Claim Automation and Fraud Detection . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3011–3031. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3950

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.