Using a Bayesian Belief Network to detect healthcare fraud-Reference-Cited by-同舟云学术

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Using a Bayesian Belief Network to detect healthcare fraud

Published:2024-03 Issue: Volume:238 Page:122241
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Kumaraswamy Nishamathi^ORCID,Ekin Tahir^ORCID,Park Chanhyun^ORCID,Markey Mia K.^ORCID,Barner Jamie C.^ORCID,Rascati Karen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. Babbar, S., & Chawla, S. (2010). On Bayesian Network and Outlier Detection. In COMAD (Vol. 125, pp. 309-330).

2. Medicare fraud detection using machine learning methods;Bauder,2017

3. A comparison of methods for discretizing continuous variables in Bayesian Networks;Beuzen;Environmental modelling & software,2018

4. SMOTE: Synthetic minority over-sampling technique;Chawla;Journal of artificial intelligence research,2002

5. Autoclass: A Bayesian classification system;Cheeseman,1988

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Analysis of Provider Fraud Detection through Machine Learning;International Journal of Advanced Research in Science, Communication and Technology;2023-12-13

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