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Volumn 6, Issue 1, 2011, Pages 48-52

Bias associated with mining electronic health records

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Indexed keywords


EID: 84862855859     PISSN: None     EISSN: 17475333     Source Type: Journal    
DOI: 10.5210%2Fdisco.v6i0.3634     Document Type: Article
Times cited : (56)

References (5)
  • 3
    • 0031230270 scopus 로고    scopus 로고
    • Accuracy of data in computer-based patient records
    • Hogan WR, Wagner MM. Accuracy of data in computer-based patient records. J Am Med Inform Assoc 1997;4:342-355.
    • (1997) J Am Med Inform Assoc , vol.4 , pp. 342-355
    • Hogan, W.R.1    Wagner, M.M.2
  • 4
    • 0031012761 scopus 로고    scopus 로고
    • A prediction rule to identify low-risk patients with community-acquired pneumonia
    • M.J. Fine, T.E. Auble, D.M. Yealy, B.H. Hanusa, L.A. Weissfeld, D.E. Singer, et al., A prediction rule to identify low-risk patients with community-acquired pneumonia, N Engl J Med 1997;336(4):243-250.
    • (1997) N Engl J Med , vol.336 , Issue.4 , pp. 243-250
    • Fine, M.J.1    Auble, T.E.2    Yealy, D.M.3    Hanusa, B.H.4    Weissfeld, L.A.5    Singer, D.E.6
  • 5
    • 33846018355 scopus 로고    scopus 로고
    • Using discordance to improve classification in narrative clinical databases: an application to community-acquired pneumonia
    • Hripcsak G, Knirsch C, Zhou L, Wilcox A, Melton GB. Using discordance to improve classification in narrative clinical databases: an application to community-acquired pneumonia. Comput Biol Med 2007;37:296-304.
    • (2007) Comput Biol Med , vol.37 , pp. 296-304
    • Hripcsak, G.1    Knirsch, C.2    Zhou, L.3    Wilcox, A.4    Melton, G.B.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.