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Volumn , Issue , 2011, Pages 8291-8294

Using support vector machines to detect medical fraud and abuse

Author keywords

[No Author keywords available]

Indexed keywords

COST CONTAINMENT; FINANCIAL TRANSACTIONS; FRAUD DETECTION; MEDICAL CLAIMS; MEDICAL DATA; PRIMARY CONTRIBUTION; PROCESSING SYSTEMS; SOFTWARE PLATFORMS; STRUCTURED CODING;

EID: 84861692626     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6092044     Document Type: Conference Paper
Times cited : (15)

References (6)
  • 1
    • 84055167864 scopus 로고    scopus 로고
    • George Washington University Medical Center School of Public Health and Health Services, Department of Health Policy, Tech. Rep
    • S. Rosenbaum, N. Lopez, and S. Stifler, Health insurance fraud: An overview, George Washington University Medical Center School of Public Health and Health Services, Department of Health Policy, Tech. Rep., 2009.
    • (2009) Health Insurance Fraud: An Overview
    • Rosenbaum, S.1    Lopez, N.2    Stifler, S.3
  • 2
    • 70349213604 scopus 로고    scopus 로고
    • Combating fraud in health care: An essential component of any cost containment strategy
    • L. Morris, Combating fraud in health care: An essential component of any cost containment strategy, Health Affairs, vol. 28, no. 5, pp. 13511356, 2009.
    • (2009) Health Affairs , vol.28 , Issue.5 , pp. 13511356
    • Morris, L.1
  • 4
    • 77956221304 scopus 로고    scopus 로고
    • A data mining framework for identifying claim overpayments for the health insurance industry
    • A. Anand and D. Khots, A data mining framework for identifying claim overpayments for the health insurance industry. in INFORMS Workshop on Data Mining and Health Informatics, 2008.
    • (2008) INFORMS Workshop on Data Mining and Health Informatics
    • Anand, A.1    Khots, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.