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Fraud detection system: A survey
The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …
enabled most financial transactions to be performed through the electronic commerce …
Using data mining to detect health care fraud and abuse: a review of literature
H Joudaki, A Rashidian… - Global journal of …, 2014 - pmc.ncbi.nlm.nih.gov
Inappropriate payments by insurance organizations or third party payers occur because of
errors, abuse and fraud. The scale of this problem is large enough to make it a priority issue …
errors, abuse and fraud. The scale of this problem is large enough to make it a priority issue …
Medicare fraud detection using graph analysis: A comparative study of machine learning and graph neural networks
Y Yoo, J Shin, S Kyeong - IEEE Access, 2023 - ieeexplore.ieee.org
Insurance companies have focused on medicare fraud detection to reduce financial losses
and reputational harm because medicare fraud causes tens of billions of dollars in damage …
and reputational harm because medicare fraud causes tens of billions of dollars in damage …
An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance
Detecting fraudulent and abusive cases in healthcare is one of the most challenging
problems for data mining studies. However, most of the existing studies have a shortage of …
problems for data mining studies. However, most of the existing studies have a shortage of …
Outlier detection in healthcare fraud: A case study in the Medicaid dental domain
Health care insurance fraud is a pressing problem, causing substantial and increasing costs
in medical insurance programs. Due to large amounts of claims submitted, estimated at 5 …
in medical insurance programs. Due to large amounts of claims submitted, estimated at 5 …
A survey on statistical methods for health care fraud detection
Fraud and abuse have led to significant additional expense in the health care system of the
United States. This paper aims to provide a comprehensive survey of the statistical methods …
United States. This paper aims to provide a comprehensive survey of the statistical methods …
[LIVRE][B] Healthcare data analytics
CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …
Analytics provides an understanding of the analytical techniques currently available to solve …
WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims
Fraud is an aggravating problem in the health insurance system, causing a substantial
increase in the cost of medical services. Many models have been developed using data …
increase in the cost of medical services. Many models have been developed using data …
Applying clustering and AHP methods for evaluating suspect healthcare claims
T Hillerman, JCF Souza, ACB Reis… - Journal of computational …, 2017 - Elsevier
This paper seeks to present a model for the analysis of suspicious claims data from
healthcare providers with the use of different clustering algorithms, and the application of the …
healthcare providers with the use of different clustering algorithms, and the application of the …
Statistical medical fraud assessment: exposition to an emerging field
Health care expenditures constitute a significant portion of governmental budgets. The
percentage of fraud, waste and abuse within that spending has increased over years. This …
percentage of fraud, waste and abuse within that spending has increased over years. This …