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Volumn , Issue , 2011, Pages 604-609

Multi-class SVM for relation extraction from clinical reports

Author keywords

[No Author keywords available]

Indexed keywords

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EID: 84866871469     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (13)
  • 3
    • 78149474640 scopus 로고    scopus 로고
    • Extracting medical information from narrative patient records: The case of medicationrelated information
    • Louise Deléger, Cyril Grouin, and Pierre Zweigenbaum. 2010. Extracting medical information from narrative patient records: the case of medicationrelated information. JAMIA, 17(5):555-558.
    • (2010) JAMIA , vol.17 , Issue.5 , pp. 555-558
    • Deléger, L.1    Grouin, C.2    Zweigenbaum, P.3
  • 5
    • 0035236048 scopus 로고    scopus 로고
    • Genies: A natural-language processing system for the extraction of molecular pathways from journal articles
    • Carol Friedman, Pauline Kra, Hong Yu, Michael Krauthammer, and Andrey Rzhetsky. 2001. Genies: a natural-language processing system for the extraction of molecular pathways from journal articles. Bioinformatics, 17.
    • (2001) Bioinformatics , pp. 17
    • Friedman, C.1    Kra, P.2    Yu, H.3    Krauthammer, M.4    Rzhetsky, A.5
  • 7
    • 0034567118 scopus 로고    scopus 로고
    • Argument identification for arterial branching predications asserted in cardiac catheterization reports
    • Thomas C. Rindflesch, Carol A. Bean, and Charles A. Sneiderman. 2000. Argument identification for arterial branching predications asserted in cardiac catheterization reports. In AMIA Annu Symp Proc.
    • (2000) AMIA Annu Symp Proc.
    • Rindflesch, T.C.1    Bean, C.A.2    Sneiderman, C.A.3
  • 10
    • 0036368577 scopus 로고    scopus 로고
    • Exploring text mining from medline
    • Padmini Srinivasan and Thomas Rindflesch. 2002. Exploring text mining from medline. In Proc AMIA Symp, pages 722-726.
    • (2002) Proc AMIA Symp , pp. 722-726
    • Srinivasan, P.1    Rindflesch, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.