Using PCA to Improve the Detection of Medical Insurance Fraud in SOFM Neural Networks-Reference-Cited by-同舟云学术

Using PCA to Improve the Detection of Medical Insurance Fraud in SOFM Neural Networks

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 3rd International Conference on Management Engineering, Software Engineering and Service Sciences - ICMSS 2019
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Author:

Cao Hongfei¹,Zhang Runtong¹

Affiliation:

1. School of Economics and Management, Beijing Jiaotong University, Beijing, China

Publisher

ACM Press

Reference17 articles.

1. Lu, C. J., Li, Y. Z., and Ren, H. L. 2016. Informatization Development of Medical Insurance in China. Journal of Medical Intelligence. 2016, 37(07):57--61.

2. Pan, S. S. and Zhang, W. J. 2017. Fraudulent medical behavior detection based on hybrid approach. Journal of East China Normal University(Natural Science). 2017(05):125--137.

3. Xu, Y. Y. 2013. Medical insurance anti-fraud still needs to work harder - based on Beijing's practice analysis. China Health Insurance. 2013(04):31--33.

4. Li, L. Y. and Shen, C. Y. 2009. On Overview of Researches on Fraud in China's Social Health Insurance System. Journal of Xiangtan University(Philosophy and Social Sciences). 2009, 33(06):71--75.

5. Ma, W. S. and Zhang, Z. S. 2008. Economic Analysis of the Defrauding Behavior in the Medical Insurance Market. Modern Economic Research. 2008(11):46--49.

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