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Volumn , Issue , 2011, Pages 1387-1392

Abnormal process instances identification method in healthcare environment

Author keywords

business process mining; clinical pathway; outlier detection; process analysis

Indexed keywords

BUSINESS PROCESS; CLINICAL PATHWAY; CLINICAL PATHWAYS; COMPETITIVE ADVANTAGE; HEALTHCARE ENVIRONMENTS; IDENTIFICATION METHOD; MULTI-FACTOR; OUTLIER DETECTION; PROCESS ANALYSIS; PROCESS INSTANCES; PROCESS MINING;

EID: 84856197795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TrustCom.2011.189     Document Type: Conference Paper
Times cited : (15)

References (10)
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    • Van Der Aalst, W.M.P.1
  • 4
    • 77953998588 scopus 로고    scopus 로고
    • Application of Process Mining in Healthcare - A Case Study in a Dutch Hospital
    • R. Mans, et al., "Application of Process Mining in Healthcare - A Case Study in a Dutch Hospital," Biomedical Engineering Systems and Technologies, pp. 425-438, 2009.
    • (2009) Biomedical Engineering Systems and Technologies , pp. 425-438
    • Mans, R.1
  • 5
    • 84856139480 scopus 로고    scopus 로고
    • Business process analysis in healthcare environments: A methodology based on process mining
    • Rebuge and D. R. Ferreira, "Business process analysis in healthcare environments: A methodology based on process mining," Information Systems, 2011.
    • (2011) Information Systems
    • Rebuge1    Ferreira, D.R.2
  • 6
    • 33644780888 scopus 로고    scopus 로고
    • A process-mining framework for the detection of healthcare fraud and abuse
    • W. S. Yang and S. Y. Hwang, "A process-mining framework for the detection of healthcare fraud and abuse," Expert Systems with Applications, vol. 31, pp. 56-68, 2006.
    • (2006) Expert Systems with Applications , vol.31 , pp. 56-68
    • Yang, W.S.1    Hwang, S.Y.2
  • 7
    • 0034133513 scopus 로고    scopus 로고
    • Distance-based outliers: Algorithms and applications
    • E. M. Knorr, et al., "Distance-based outliers: algorithms and applications," The VLDB Journal, vol. 8, pp. 237-253, 2000.
    • (2000) The VLDB Journal , vol.8 , pp. 237-253
    • Knorr, E.M.1
  • 8
    • 0039253819 scopus 로고    scopus 로고
    • LOF: Identifying density-based local outliers
    • M. M. Breunig, et al., "LOF: identifying density-based local outliers," Sigmod Record, vol. 29, pp. 93-104, 2000.
    • (2000) Sigmod Record , vol.29 , pp. 93-104
    • Breunig, M.M.1
  • 10
    • 0039845384 scopus 로고    scopus 로고
    • Efficient algorithms for mining outliers from large data sets
    • S. Ramaswamy, et al., "Efficient algorithms for mining outliers from large data sets," ACM SIGMOD Record, vol. 29, pp. 427-438, 2000.
    • (2000) ACM SIGMOD Record , vol.29 , pp. 427-438
    • Ramaswamy, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.