Results 31 to 40 of about 577,934 (272)

Motor Vehicle Insurance Anti-Fraud Modeling Based on a Stochastic Differential Game System

open access: yesSystems, 2023
In this paper, we regard policyholders, insurance companies, and government departments to be an anti-fraud supervision system, and we explore the supervision of motor vehicle insurance fraud from the perspective of a tripartite game.
Meixuan Li   +3 more
doaj   +1 more source

Auto Insurance Fraud Detection with Multimodal Learning

open access: yesData Intelligence, 2023
In recent years, feature engineering-based machine learning models have made significant progress in auto insurance fraud detection. However, most models or systems focused only on structural data and did not utilize multi-modal data to improve fraud ...
Jiaxi Yang   +4 more
semanticscholar   +1 more source

Kecurangan dan Perlindungan Konsumen Asuransi [PDF]

open access: yesJurnal Vokasi Indonesia, 2017
Establishing a national economy that can grow suatainably and stable, requires the financial service sectors conducting its business in a well organized, fair, transparent and accountable manner, and be able to protect the consumer’s and public’s ...
Ketut Sendra
doaj   +1 more source

Phenomenon of Causal Fraud Health Insurance in Hospitals: Theory of gear fraud

open access: yesAsia Pacific Journal of Health Management, 2021
Objective: To describe and explore the experiences of hospital employees with the causes of fraud in the health insurance program at the hospitals. Design And Setting: This research was carried out at government hospitals in the Southeast Sulawesi ...
Haruddin Haruddin   +2 more
doaj   +1 more source

ML methods for assessing the risk of fraud in auto insurance [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Математика. Механика. Информатика
The car insurance fraud level assessment is an urgent and complex task, which is largely due to the activities of fraudulent groups. For the confident management of insurance companies in the anti-fraud strategy, a tool to assess the current state of the
Vorobyev, Ivan A.
doaj   +1 more source

The Cost of the National Disability Insurance Scheme: Australia's Print‐Media Discourse

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT This paper examines the way that Australian newspapers have framed the cost of the National Disability Insurance Scheme (NDIS). Introduced in 2013, the NDIS represented a major change in Australia's disability support policy, moving for the first time to a nationwide universal insurance model.
Meera Chinnappa   +2 more
wiley   +1 more source

A Mathematical Model for Identifying and Validating Suspicious Clusters Associated with Organized Fraud in Auto Insurance [PDF]

open access: yesIranian Journal of Insurance Research
BACKGROUND AND OBJECTIVES: Insurance fraud presents a persistent challenge within the insurance industry, leading to substantial financial losses and eroding public trust.
Asma Hamzeh   +1 more
doaj   +1 more source

Expectations and Reality: The Lived Experiences of Australians With Psychosocial Disability Within the NDIS

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT While Australia's National Disability Insurance Scheme (NDIS) was founded on principles of choice and control, for people with significant mental health challenges (what the NDIS calls ‘psychosocial disability’) these ideals often remain elusive. Support systems continue to be fractured and in the context of ongoing policy reforms, it is vital
Joel Hollier, Jennifer Smith‐Merry
wiley   +1 more source

Fraud in Healthcare Service

open access: yesSHS Web of Conferences, 2018
In Indonesia, the fraud of healthcare service implementation occurs widely in hospitals, thereby harming the participants of social insurance. The objectives of research were to find out, to analyze, and to give solution to the fraud in the healthcare ...
Pustika Sukma Dara   +2 more
doaj   +1 more source

An Ensemble-Based Auto Insurance Fraud Detection Using BQANA Hyperparameter Tuning

open access: yesIEEE Access
The prevalence of insurance fraud in the auto industry poses significant financial challenges and undermines customer trust. Despite the application of machine learning methods to reduce these losses, current literature lacks effective tuned algorithms ...
Afsaneh Gheysarbeigi   +3 more
semanticscholar   +1 more source

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