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Volumn 2, Issue , 2011, Pages 311-316

Improving classification of medical assertions in clinical notes

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXTUAL FEATURE; DATA SETS; LINGUISTIC FEATURES; NLP SYSTEMS; UNBALANCED DISTRIBUTION;

EID: 84859062763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (15)
  • 1
    • 84859087698 scopus 로고    scopus 로고
    • Apache UIMA 2008. Available at http://uima.apache.org.
    • (2008)
  • 3
    • 80053241946 scopus 로고    scopus 로고
    • Machine-learned solutions for three stages of clinical information extraction: The state of the art at i2b2 2010
    • Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel Martin, and Xiaodan Zhu. 2011. Machine-Learned Solutions for Three Stages of Clinical Information Extraction: the State of the Art at i2b2 2010. J Am Med Inform Assoc.
    • (2011) J Am Med Inform Assoc
    • De Bruijn, B.1    Cherry, C.2    Kiritchenko, S.3    Martin, J.4    Zhu, X.5
  • 5
    • 0035741485 scopus 로고    scopus 로고
    • A simple algorithm for identifying negated findings and diseases in discharge summaries
    • DOI 10.1006/jbin.2001.1029
    • Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, and Bruce G. Buchanan. 2001. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries. Journal of Biomedical Informatics, 34:301-310. (Pubitemid 34694864)
    • (2001) Journal of Biomedical Informatics , vol.34 , Issue.5 , pp. 301-310
    • Chapman, W.W.1    Bridewell, W.2    Hanbury, P.3    Cooper, G.F.4    Buchanan, B.G.5
  • 7
    • 7444236194 scopus 로고    scopus 로고
    • UIMA: An architectural approach to unstructured information processing in the corporate research environment
    • David Ferrucci and Adam Lally. 2004. UIMA: An Architectural Approach to Unstructured Information Processing in the Corporate Research Environment. Journal of Natural Language Engineering, 10(3-4): 327-348.
    • (2004) Journal of Natural Language Engineering , vol.10 , Issue.3-4 , pp. 327-348
    • Ferrucci, D.1    Lally, A.2
  • 8
    • 30744476239 scopus 로고    scopus 로고
    • Generalized Bradley-Terry models and multi-class probability estimates
    • Tzu-Kuo Huang, Ruby C. Weng, and Chih-Jen Lin. 2006. Generalized Bradley-Terry Models and Multiclass Probability Estimates. Journal of Machine Learning Research, 7:85-115. (Pubitemid 43100917)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 85-115
    • Huang, T.-K.1    Weng, R.C.2    Lin, C.-J.3
  • 12
    • 24944470272 scopus 로고    scopus 로고
    • Automation of a problem list using natural language processing
    • Stéphane M. Meystre and Peter J. Haug. 2005. Automation of a Problem List Using Natural Language Processing. BMC Med Inform Decis Mak, 5:30.
    • (2005) BMC Med Inform Decis Mak , vol.5 , pp. 30
    • Meystre, S.M.1    Haug, P.J.2
  • 13
    • 78149490620 scopus 로고    scopus 로고
    • Mayo clinical text analysis and knowledge extraction system (cTAKES): Architecture, component evaluation and applications
    • Guergana K. Savova, James J. Masanz, Philip V. Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C. Kipper-Schuler, and Christopher G. Chute. 2010. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J Am Med Inform Assoc., 17(5):507-513.
    • (2010) J Am Med Inform Assoc. , vol.17 , Issue.5 , pp. 507-513
    • Savova, G.K.1    Masanz, J.J.2    Ogren, P.V.3    Zheng, J.4    Sohn, S.5    Kipper-Schuler, K.C.6    Chute, C.G.7
  • 15
    • 57149137175 scopus 로고    scopus 로고
    • Machine learning and rule-based approaches to assertion classification
    • Özlem Uzuner, Xiaoran Zhang, and Sibanda Tawanda. 2009. Machine Learning and Rule-based Approaches to Assertion Classification. J Am Med Inform Assoc., 16:109-115.
    • (2009) J Am Med Inform Assoc. , vol.16 , pp. 109-115
    • Uzuner, O.1    Zhang, X.2    Tawanda, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.