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Volumn 87, Issue , 2008, Pages 105-110

Mining medical specialist billing patterns for health service management

Author keywords

Association rule; Fraud detection; Health data mining; Negative association rule; Open source data mining

Indexed keywords

AUSTRALIA; DIRECT ASSESSMENT; FRAUD DETECTION; HEALTH DATA; HEALTH SERVICES; HIGH-RISK INDIVIDUALS; NEGATIVE ASSOCIATION RULES; OPEN SOURCES; SUBJECT MATTER EXPERTS;

EID: 79951749999     PISSN: 14451336     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (25)

References (13)
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  • 5
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    • 15th Conference on Computational Statistics (Compstat 2002, Berlin, Germany) Physica Verlag, Heidelberg, Germany
    • Borgelt, C. and Kruse, R. (2002). Induction of Association Rules: Apriori Implementation. 15th Conference on Computational Statistics (Compstat 2002, Berlin, Germany) Physica Verlag, Heidelberg, Germany. http://www.borgelt.net/apriori.html
    • (2002) Induction of Association Rules: Apriori Implementation
    • Borgelt, C.1    Kruse, R.2
  • 7
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    • Intelligent physician segmentation and management based on KDD approach. (2008)
    • Pergamon Press, Inc. Tarrytown, NY, USA
    • Lin, C., Lin, C-M., Li, S-T. and Kuo, S-C. (2008) Intelligent physician segmentation and management based on KDD approach. (2008) Expert Systems with Applications. 34(3): 1963-1973. Pergamon Press, Inc. Tarrytown, NY, USA
    • (2008) Expert Systems with Applications , vol.34 , Issue.3 , pp. 1963-1973
    • Lin, C.1    Lin, C.-M.2    Li, S.-T.3    Kuo, S.-C.4
  • 8
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    • Medicare Benefit Schedule Book Australian Government
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  • 11
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    • Discovering patterns of medical practice in large administrative health databases
    • Elsevier Science Publishers B. V. ISSN ISSN0169-023X Amsterdam, The Netherlands
    • Semenova T. (2004) Discovering patterns of medical practice in large administrative health databases. Data Knowledge Engineering. 51(2): 149-160, Elsevier Science Publishers B. V. ISSN 0169-023X Amsterdam, The Netherlands
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    • Semenova, T.1
  • 12
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    • A process-mining framework for the detection of healthcare fraud and abuse
    • Elsevier
    • Yang, W-S. and Hwang, S-Y. (2006) A process-mining framework for the detection of healthcare fraud and abuse. Expert Systems with Applications. 31: 56-68. Elsevier
    • (2006) Expert Systems with Applications , vol.31 , pp. 56-68
    • Yang, W.-S.1    Hwang, S.-Y.2
  • 13
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    • Association Rule Mining: Models and Algorithms
    • ISBN: 978-3-540-43533-4
    • Zhang, C., Zhang, S. (2002) Association Rule Mining: Models and Algorithms. Lecture Notes in Computer Science, 2307. ISBN: 978-3-540-43533-4
    • (2002) Lecture Notes in Computer Science , pp. 2307
    • Zhang, C.1    Zhang, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.