Results 11 to 20 of about 577,934 (272)

Insurance Fraud in Korea, Its Seriousness, and Policy Implications [PDF]

open access: yesFrontiers in Public Health, 2021
Several characteristics of insurance fraud including its chronic nature justifies the need for identifying feasible proposals which can be expected to bring about significant impacts. Recent statistics show that insurance fraud is now consistently on the
Jeyong Jung, Byung-Jik Kim
doaj   +2 more sources

Blockchain and AI-Empowered Healthcare Insurance Fraud Detection: an Analysis, Architecture, and Future Prospects

open access: yesIEEE Access, 2022
Nowadays, health insurance has become an essential part of people’s lives as the number of health issues increases. Healthcare emergencies can be troublesome for people who can’t afford huge expenses.
Khyati Kapadiya   +6 more
doaj   +2 more sources

Research on the Formation Mechanism of Health Insurance Fraud in China: From the Perspective of the Tripartite Evolutionary Game [PDF]

open access: yesFrontiers in Public Health, 2022
The problem of fraud in China's health insurance has existed for a long time and is becoming more serious, which needs to be solved urgently. This article constructs a tripartite evolutionary game model to study the formation mechanism of the Health ...
Yun Fei   +3 more
doaj   +2 more sources

Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values

open access: yesIEEE Access
Insurance fraud is a prevalent issue that insurance companies must face, particularly in the realm of automobile insurance. This type of fraud has significant cost implications for insurance firms and can have a long-term impact on pricing strategies and
Ahmed A. Khalil   +4 more
doaj   +2 more sources

Why Not Blow the Whistle on Health Care Insurance Fraud? Evidence from Jiangsu Province, China [PDF]

open access: yesRisk Management and Healthcare Policy, 2022
Dandan Wang, Changchun Zhan School of Management, Jiangsu University, Zhenjiang, People’s Republic of ChinaCorrespondence: Changchun Zhan, Tel +86-15952808385, Email Zcc1973@126.comPurpose: To identify the factors that influence whistleblowing behavior ...
Wang D, Zhan C
doaj   +2 more sources

Prediction of Insurance Fraud Detection using Machine Learning Algorithms

open access: yesMehran University Research Journal of Engineering and Technology, 2022
In current era, people are influenced with various types of insurance such as health insurance, automobile insurance, property insurance and travel insurance, due to the availability of extensive knowledge related to insurance.
Laiqa Rukhsar   +3 more
doaj   +2 more sources

Comparative Study of Machine Learning Techniques for Insurance Fraud Detection

open access: yesAviation Electronics, Information Technology, Telecommunications, Electricals, Controls
Insurance fraud has been a constant presence in the realm of insurance. However, as strategies and methods for committing insurance fraud have evolved, the frequency and volume of such fraudulent activities have also increased.
Navin Duwadi, Anita Sharma
doaj   +2 more sources

Classification and identification of medical insurance fraud:  a case-based reasoning approach

open access: yesTechnological and Economic Development of Economy
Appropriate classification of medical insurance fraud events can not only be effective in preventing and combating fraud, but also greatly improve the utilization of medical resources.
Xiaodi Liu   +3 more
doaj   +2 more sources

Using large language models for enhanced fraud analysis and detection in blockchain based health insurance claims. [PDF]

open access: yesSci Rep
Traditional health insurance claim processing systems are plagued by inefficiencies and vulnerabilities, often resulting in significant financial losses due to fraudulent activities.
Islayem R   +6 more
europepmc   +2 more sources

Automobile insurance fraud detection using data mining: A systematic literature review

open access: yesIntelligent Systems with Applications
Insurance is a pivotal element in modern society, but insurers face a persistent challenge from fraudulent behaviour performed by policyholders. This behaviour could be detrimental to both insurance companies and their honest customers, but the intricate
Gilian Schrijver   +2 more
doaj   +2 more sources

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