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A graph-based contrastive learning framework for medicare insurance fraud detection

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References

  1. Li J, Lan Q L, Zhu E Y, Xu Y, Zhu D. A study of health insurance fraud in China and recommendations for fraud detection and prevention. Journal of Organizational and End User Computing, 2022, 34(4): 1–19

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Acknowledgements

This work was supported by the National Key Research and Development Program of China (No. 2018YFC0831500) and the National Natural Science Foundation of China (Grant No. 61972047).

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Authors and Affiliations

  1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Song Xiao, Ting Bai, Xiangchong Cui, Bin Wu, Xinkai Meng & Bai Wang

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  1. Song Xiao
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  2. Ting Bai
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  3. Xiangchong Cui
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  4. Bin Wu
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  5. Xinkai Meng
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  6. Bai Wang
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Corresponding author

Correspondence to Ting Bai.

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Xiao, S., Bai, T., Cui, X. et al. A graph-based contrastive learning framework for medicare insurance fraud detection. Front. Comput. Sci. 17, 172341 (2023). https://doi.org/10.1007/s11704-022-1734-0

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  • DOI: https://doi.org/10.1007/s11704-022-1734-0

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