InsurTechPredict: AI-driven Predictive Analytics for Claims Fraud Detection in Insurance

Authors

  • Jegatheeswari Perumalsamy Athene Annuity and Life Insurance Company, USA Author
  • Thirunavukkarasu Pichaimani Molina Healthcare Inc, USA Author

Keywords:

AI, predictive analytics, fraud detection, insurance, machine learning

Abstract

Advanced AI-driven predictive analytics framework is introduced which is InsurTechPredict used for fraud detection in insurance claims processing. By exploiting deep neural networks and anomaly detection algorithms, the model systematically identifies fraudulent claims by analysing complex and multidimensional historical claims data. Traditionally fraud detection methodologies depend heavily on rule-based heuristics, which are prone to high false-positive rates and inefficiencies.

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Published

24-01-2024

How to Cite

[1]
Jegatheeswari Perumalsamy and Thirunavukkarasu Pichaimani, “InsurTechPredict: AI-driven Predictive Analytics for Claims Fraud Detection in Insurance ”, American J Data Sci Artif Intell Innov, vol. 4, pp. 127–163, Jan. 2024, Accessed: Mar. 07, 2026. [Online]. Available: https://ajdsai.org/index.php/publication/article/view/47