'All walks of life':a profile of household insurance fraudsters in the United Kingdom [PDF]
Blackbourn, Dean +2 more
core +1 more source
What goals does China's medical insurance fund supervision aim to achieve? A quantitative analysis based on national-level policies. [PDF]
Xu J +7 more
europepmc +1 more source
Brokering a new path: navigating administrative burdens in the health insurance Marketplaces. [PDF]
Mulligan JM, Anderson DM, Drake C.
europepmc +1 more source
Designing a national framework for preventing fraud in Iran's health system: a sequential mixed-methods study using qualitative analysis and Delphi consensus. [PDF]
Vafaee Najar A, Hooshmand E.
europepmc +1 more source
Synthetic health insurance claim fakes: AI-generated injury videos inflate claims and burden chronic disease patients. [PDF]
Nisa NU +4 more
europepmc +1 more source
Fraud detection and explanation in medical claims using GNN architectures. [PDF]
Muhammad R +6 more
europepmc +1 more source
Can Machine Learning Target Health Care Fraud? Evidence from Medicare Hospitalizations. [PDF]
Shekhar S, Leder-Luis J, Akoglu L.
europepmc +1 more source
Internet fraud transaction detection based on temporal-aware heterogeneous graph oversampling and attention fusion network. [PDF]
Wei S, Lee S.
europepmc +1 more source
Nigeria needs a publicly accessible medical register. [PDF]
Oyedele TJ, Aderinto N.
europepmc +1 more source
Using large language models for enhanced fraud analysis and detection in blockchain based health insurance claims. [PDF]
Islayem R +6 more
europepmc +1 more source

