Journal:IEEE Access
Key Words:Fraudster Detection Camouflage Clustering Healthcare Insurance
Abstract:Healthcare insurance frauds are causing millions of dollars in loss for public healthcare funds around the world. Healthcare Fraud Detection methods can help us to avoid loss of medical healthcare insurance fund and improve medical quality. Existing fraudster detection methods always consider people who violate normal behavior patterns as fraudsters. However, fraudsters can evade these monitors by camouflage, by adding normal behaviors so that they look "normal". Our focus is to spot healthcare insurance patient fraudsters in the presence of camouflage.Although camouflage may hinder fraudster
Indexed by:Journal paper
Discipline:Engineering
First-Level Discipline:Computer Science and Technology
Document Type:J
Volume:7
Page Number:14162-14170
ISSN No.:2169-3536
Translation or Not:no
Date of Publication:2018-12-14
Included Journals:SCI
Date of Publication:2018-12-14