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Kose et al., 2015 - Google Patents

An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance

Kose et al., 2015

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Document ID
6521165972713241363
Author
Kose I
Gokturk M
Kilic K
Publication year
Publication venue
Applied Soft Computing

External Links

Snippet

Detecting fraudulent and abusive cases in healthcare is one of the most challenging problems for data mining studies. However, most of the existing studies have a shortage of real data for analysis and focus on a very limited version of the problem by covering only a …
Continue reading at papers.ssrn.com (PDF) (other versions)

Classifications

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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/328—Health insurance management, e.g. payments or protection against fraud
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