메뉴 건너뛰기




Volumn 180, Issue , 2012, Pages 721-725

Organizing data quality assessment of shifting biomedical data

Author keywords

Data quality; Dataset shifts; Decision making; Electronic health records

Indexed keywords

DECISION MAKING;

EID: 84872568410     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-101-4-721     Document Type: Conference Paper
Times cited : (22)

References (16)
  • 1
    • 1842447889 scopus 로고    scopus 로고
    • Committee on Data Standards for Patient Safety. The National Academies Press, Washington, D.C. ISBN 0-309-09077-6
    • Aspden P et al. Patient Safety: Achieving a New Standard for Care. Committee on Data Standards for Patient Safety. The National Academies Press, Washington, D.C. 2004. ISBN 0-309-09077-6
    • (2004) Patient Safety: Achieving A New Standard for Care
    • Aspden, P.1
  • 3
    • 84994788130 scopus 로고    scopus 로고
    • Data quality and integration issues in electronic health records
    • V. Hristidis (ed.)
    • Cruz-Correia RJ et al. Data Quality and Integration Issues in Electronic Health Records. V. Hristidis (ed.) Information Discovery On Electronic Health Records. 2010. 55-96
    • (2010) Information Discovery on Electronic Health Records , pp. 55-96
    • Cruz-Correia, R.J.1
  • 6
    • 79961021702 scopus 로고    scopus 로고
    • Quality of cancer registry data: Findings from CDC-NPCR's breast and prostate cancer data quality and patterns of care study
    • German RR et al. Quality of cancer registry data: findings from CDC-NPCR's Breast and Prostate Cancer Data Quality and Patterns of Care Study. J. Registry Manag. 38(2): 75-86. 2011
    • (2011) J. Registry Manag. , vol.38 , Issue.2 , pp. 75-86
    • German, R.R.1
  • 8
    • 33644543068 scopus 로고    scopus 로고
    • Data quality: A statistical perspective
    • Karr AF et al. Data quality: A statistical perspective. Stat Meth; 2006; 3:137-173
    • (2006) Stat Meth , vol.3 , pp. 137-173
    • Karr, A.F.1
  • 9
    • 84883713774 scopus 로고    scopus 로고
    • Learning drifting concepts: Example selection vs. example weighting
    • 300
    • Klinkenberg R. Learning drifting concepts: example selection vs. example weighting. Intell Data Anal; 2004; 8(3):281:300
    • (2004) Intell Data Anal , vol.8 , Issue.3 , pp. 281
    • Klinkenberg, R.1
  • 10
    • 0036885487 scopus 로고    scopus 로고
    • AIMQ: A methodology for information quality assessment
    • Lee YW et al. AIMQ: a methodology for information quality assessment. Inf and Manag; 2002; 40:133-146
    • (2002) Inf and Manag , vol.40 , pp. 133-146
    • Lee, Y.W.1
  • 11
    • 84872544544 scopus 로고    scopus 로고
    • Data quality and fitness for purpose of routinely collected data - A general practice case study from an electronic Practice-Based Research Network (ePBRN)
    • Liaw ST. Data quality and fitness for purpose of routinely collected data - a general practice case study from an electronic Practice-Based Research Network (ePBRN). AMIA Annu Symp Proc. 2011:785-794
    • (2011) AMIA Annu Symp Proc. , pp. 785-794
    • Liaw, S.T.1
  • 13
    • 78049459123 scopus 로고    scopus 로고
    • Overview and framework for data and information quality research
    • Article 2
    • Madnick SE et al. Overview and Framework for Data and Information Quality Research. ACM J Data Inform Quality; 2009; 1 (1), Article 2
    • (2009) ACM J Data Inform Quality , vol.1 , Issue.1
    • Madnick, S.E.1
  • 14
    • 80052714543 scopus 로고    scopus 로고
    • A unifying view on dataset shift in classification
    • Moreno-Torres JG et al. A unifying view on dataset shift in classification. Pattern Recogn; 2012; 45:521-530
    • (2012) Pattern Recogn , vol.45 , pp. 521-530
    • Moreno-Torres, J.G.1
  • 16
    • 0002918344 scopus 로고    scopus 로고
    • Beyond accuracy: What data quality means to data consumers
    • Wang RY and Strong DM Beyond Accuracy: What Data Quality Means to Data Consumers. J Manag Inform Syst; 1996; 12 (4):5-34
    • (1996) J Manag Inform Syst , vol.12 , Issue.4 , pp. 5-34
    • Wang, R.Y.1    Strong, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.