Results 21 to 30 of about 161,871 (263)

Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim

open access: yesKuwait Journal of Science, 2022
Fraud on health insurance has an impact not only on cost overruns, but also a decline in the quality of health services in long term. The use of machine learning to predict fraud on health insurance is increasingly popular.
Ranu Agastya Nugraha   +2 more
doaj   +1 more source

Explainable machine learning models for Medicare fraud detection

open access: yesJournal of Big Data, 2023
As a means of building explainable machine learning models for Big Data, we apply a novel ensemble supervised feature selection technique. The technique is applied to publicly available insurance claims data from the United States public health insurance
John T. Hancock   +3 more
doaj   +1 more source

Improving Fraud and Abuse Detection in General Physician Claims: A Data Mining Study [PDF]

open access: yesInternational Journal of Health Policy and Management, 2016
Background We aimed to identify the indicators of healthcare fraud and abuse in general physicians’ drug prescription claims, and to identify a subset of general physicians that were more likely to have committed fraud and abuse.
Hossein Joudaki   +6 more
doaj   +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

Fraud detection in supplementary health insurance based on smart contract in blockchain ‎network [PDF]

open access: yesMathematics and Modeling in Finance
This study aims to examine the function of blockchain technology to detect fraud in health insurance. we consider the literature on fraud in health insurance, blockchain, and smart contracts to to test a newly structured software system based on ...
Abbas Raad, Reza Ofoghi, Ghadir Mahdavi
doaj   +1 more source

Good Governance and Anti-Corruption: Responsibility to Protect Universal Health Care in Indonesia

open access: yesHasanuddin Law Review, 2018
The establishment of universal health care marks a new momentum for the progressive realization of the right to health in Indonesia. The problem of corruption in health sector endangers the sustainability of effective and quality health care, therefore ...
Ratna Juwita
doaj   +1 more source

Fraud and Abuse in the Saudi Healthcare System: A Triangulation Analysis

open access: yesInquiry: The Journal of Health Care Organization, Provision, and Financing, 2020
In the insurance industry, the majority of fraud and abuse cases fall into a limited number of patterns, yet false claims normally lead to negative national, local, and organizational effects.
Wadi B. Alonazi
doaj   +1 more source

Decision Support System (DSS) for Fraud Detection in Health Insurance Claims Using Genetic Support Vector Machines (GSVMs)

open access: yesJournal of Engineering, 2019
Fraud in health insurance claims has become a significant problem whose rampant growth has deeply affected the global delivery of health services. In addition to financial losses incurred, patients who genuinely need medical care suffer because service ...
Robert A. Sowah   +6 more
doaj   +1 more source

How to detect healthcare fraud? “A systematic review”

open access: yesGaceta Sanitaria, 2021
Objective: To identify the method used in detecting fraud cases. Methods: Articles searching by using topic-appropriate keywords and incorporated into search engines (data-based) journals Pubmed/Medline, Cochrane, Wiley, ScienceDirect, and secondary data-
Andi Yaumil Bay R. Thaifur   +3 more
doaj   +1 more source

Fraud Detection in Healthcare Insurance Claims Using Machine Learning

open access: yesRisks, 2023
Healthcare fraud is intentionally submitting false claims or producing misinterpretation of facts to obtain entitlement payments. Thus, it wastes healthcare financial resources and increases healthcare costs.
Eman Nabrawi, Abdullah Alanazi
doaj   +1 more source

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