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Volumn 12, Issue SUPPL. 2, 2003, Pages

Finding clusters of similar events within clinical incident reports: A novel methodology combining case based reasoning and information retrieval

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTIFICIAL INTELLIGENCE; BLOOD TRANSFUSION; CASE BASED REASONING; CASE FINDING; CLINICAL INCIDENT REPORT; CONFERENCE PAPER; DATA BASE; DOCUMENTATION; GOOD CLINICAL PRACTICE; INFORMATION RETRIEVAL; INFORMATION SCIENCE; MEDICAL RECORD; PREDICTION; TRANSFUSION MEDICINE;

EID: 0347586854     PISSN: 09638172     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (6)
  • 1
    • 0036221970 scopus 로고    scopus 로고
    • The medical event reporting system for transfusion medicine (MERS-TM): Will it help us get the right blood to the right patient?
    • Kaplan HS, Callum JL, Rabin Fastman B, et al. The medical event reporting system for transfusion medicine (MERS-TM): will it help us get the right blood to the right patient? Transfusion Med Rev 2000;16:86-102.
    • (2000) Transfusion Med Rev , vol.16 , pp. 86-102
    • Kaplan, H.S.1    Callum, J.L.2    Rabin Fastman, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.