Fraud detection system: A survey

A Abdallah, MA Maarof, A Zainal - Journal of Network and Computer …, 2016 - Elsevier
The increment of computer technology use and the continued growth of companies have
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 …

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 …

An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance

I Kose, M Gokturk, K Kilic - Applied Soft Computing, 2015 - Elsevier
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 …

Outlier detection in healthcare fraud: A case study in the Medicaid dental domain

G Van Capelleveen, M Poel, RM Mueller… - International journal of …, 2016 - Elsevier
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 …

A survey on statistical methods for health care fraud detection

J Li, KY Huang, J **, J Shi - Health care management science, 2008 - Springer
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 …

[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 …

WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims

L Settipalli, GR Gangadharan - Expert Systems with Applications, 2023 - Elsevier
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 …

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 …

Statistical medical fraud assessment: exposition to an emerging field

T Ekin, F Ieva, F Ruggeri… - International Statistical …, 2018 - Wiley Online Library
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 …