A study on rare fraud predictions with big Medicare claims fraud data-Reference-Cited by-同舟云学术

A study on rare fraud predictions with big Medicare claims fraud data

Published:2020-02-18 Issue:1 Volume:24 Page:141-161
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Bauder Richard A.,Khoshgoftaar Taghi M.

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference64 articles.

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2. Classification with class imbalance problem: a review;Ali;Int J Adv Soft Comput Appl,2015

3. Association of American Retired Persons (AARP). Chronic conditions among older americans.

4. R.A. Bauder, R. Rosa and T.M. Khoshgoftaar, Identifying medicare provider fraud with unsupervised machine learning, in: 2018 IEEE International Conference on Information Reuse and Integration (IRI), IEEE, 2018, pp. 285–292.

5. R.A. Bauder and T.M. Khoshgoftaar, A novel method for fraudulent medicare claims detection from expected payment deviations (application paper), in: Information Reuse and Integration (IRI), 2016 IEEE 17th International Conference on, IEEE, 2016, pp. 11–19.

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