Analytical study on fraud detection in healthcare insurance claim data using machine learning classifiers-Reference-Cited by-同舟云学术

Analytical study on fraud detection in healthcare insurance claim data using machine learning classifiers

Published:2022 Issue: Volume: Page:
ISSN:0094-243X
Container-title:2ND INTERNATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS: ICMTA2021
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Author:

Mary A. Jenita,Claret S. P. Angelin

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0108547

Reference10 articles.

1. Vipula Rawte and G. Anuradha, Fraud Detection in Health Insurance using Data Mining Techniques, 2015 International Conference on Communication, Information and Computing Technology, Jan 16-17, India.

2. V. Kathiresan, Dr. S. Gunasekaran, Faseela V. S, Health Insurance Claim Fraud Detection: A Survey, International Journal of Latest Trends in Engineering and Technology (IJLTET).

3. Pedro A. Ortega, Cristian J. Figureoa and Gonzalo A. Ruz, A Medical Claim Fraud/Abuse Detection System based on Data Mining: A case study in Chile, Conference on Data

4. Mining.hunzhi Zhu and Yan Wang, Yan Wu, Healthcare Fraud detection using Nonnegative Matrix Factorization, 6th International Conference on Computer Science and Education, August 3-5, 2014.

5. Charles Francis, Noah Pepper, Homer Strong, Using Support Vector Machines to Detect Medical Fraud and Abuse, 33rd Annual International Conference of IEEE EMBS, Boston, Massachusetts USA, August 30-September 3, 2015.

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