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Volumn 2868, Issue , 2003, Pages 109-117

Data imbalance in surveillance of nosocomial infections

Author keywords

[No Author keywords available]

Indexed keywords

SURVEYS;

EID: 0242372103     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39619-2_14     Document Type: Article
Times cited : (8)

References (12)
  • 4
    • 0024418116 scopus 로고
    • Repeated prevalence surveys for monitoring effectiveness of hospital infection control
    • G. G. French, A. F. Cheng, S. L. Wong, and S. Donnan. Repeated prevalence surveys for monitoring effectiveness of hospital infection control. Lancet, 2:1021-23, 1983.
    • (1983) Lancet , vol.2 , pp. 1021-1023
    • French, G.G.1    Cheng, A.F.2    Wong, S.L.3    Donnan, S.4
  • 6
    • 0033598577 scopus 로고    scopus 로고
    • Nosocomial infections in swiss university hospitals: A multi-centre survey and review of the published experience
    • S. Harbarth, Ch. Ruef, P. Francioli, A. Widmer, D. Pittet, and Swiss-Noso Network. Nosocomial infections in swiss university hospitals: a multi-centre survey and review of the published experience. Schweiz Med Wochenschr, 129:1521-28, 1999.
    • (1999) Schweiz Med Wochenschr , vol.129 , pp. 1521-1528
    • Harbarth, S.1    Ruef, Ch.2    Francioli, P.3    Widmer, A.4    Pittet, D.5    Network, S.-N.6
  • 7
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • N. Japkowicz. The class imbalance problem: A systematic study. Intelligent Data Analysis Journal, 6(5), 2002.
    • (2002) Intelligent Data Analysis Journal , vol.6 , Issue.5
    • Japkowicz, N.1
  • 8
    • 0034825778 scopus 로고    scopus 로고
    • Mining needles in a haystack: Classifying rare classes via two-phase rule induction
    • M. V. Joshi, R. G. Agarwal, and V. Kumar. Mining needles in a haystack: Classifying rare classes via two-phase rule induction. In ACM-SIGMOD, 2001.
    • (2001) ACM-SIGMOD
    • Joshi, M.V.1    Agarwal, R.G.2    Kumar, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.