메뉴 건너뛰기




Volumn 5, Issue 1, 2014, Pages

Detecting concept mentions in biomedical text using hidden Markov model: Multiple concept types at once or one at a time?

Author keywords

Data mining; Electronic health records; Information storage and retrieval; Natural language processing

Indexed keywords


EID: 84920719766     PISSN: None     EISSN: 20411480     Source Type: Journal    
DOI: 10.1186/2041-1480-5-3     Document Type: Article
Times cited : (8)

References (15)
  • 1
    • 4944229711 scopus 로고    scopus 로고
    • GENIA corpus--semantically annotated corpus for bio-textmining
    • 12855455
    • Kim J-D, Ohta T, Tateisi Y, Tsujii J. GENIA corpus--semantically annotated corpus for bio-textmining. Bioinformatics 2003, 19(Suppl 1):i180-i182. 10.1093/bioinformatics/btg1023, 12855455.
    • (2003) Bioinformatics , vol.19 , pp. i180-i182
    • Kim, J.-D.1    Ohta, T.2    Tateisi, Y.3    Tsujii, J.4
  • 2
    • 33947250174 scopus 로고    scopus 로고
    • GENETAG: a tagged corpus for gene/protein named entity recognition
    • Tanabe, Xie N, Thom LH, Matten W, Wilbur WJ. GENETAG: a tagged corpus for gene/protein named entity recognition. BMC Bioinformatics 2005, 6(Suppl 1):S3.
    • (2005) BMC Bioinformatics , vol.6 , pp. S3
    • Tanabe, X.N.1    Thom, L.H.2    Matten, W.3    Wilbur, W.J.4
  • 3
    • 78149480799 scopus 로고    scopus 로고
    • Extracting medication information from clinical text
    • 2995677, 20819854
    • Uzuner T, Solti I, Cadag E. Extracting medication information from clinical text. J Am Med Inform Assoc 2010, 17(5):514-518. 10.1136/jamia.2010.003947, 2995677, 20819854.
    • (2010) J Am Med Inform Assoc , vol.17 , Issue.5 , pp. 514-518
    • Uzuner, T.1    Solti, I.2    Cadag, E.3
  • 4
    • 80053292637 scopus 로고    scopus 로고
    • 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
    • 3168320, 21685143
    • Uzuner T, South BR, Shen S, DuVall SL. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. J Am Med Inform Assoc 2011, 18(5):552-556. 10.1136/amiajnl-2011-000203, 3168320, 21685143.
    • (2011) J Am Med Inform Assoc , vol.18 , Issue.5 , pp. 552-556
    • Uzuner, T.1    South, B.R.2    Shen, S.3    DuVall, S.L.4
  • 7
    • 84870669801 scopus 로고    scopus 로고
    • A cascade of classifiers for extracting medication information from discharge summaries
    • Halgrim SR, Xia F, Solti I, Cadag E, Uzuner O. A cascade of classifiers for extracting medication information from discharge summaries. J Biomed Semantics 2011, 2(Suppl 3):S2.
    • (2011) J Biomed Semantics , vol.2 , pp. S2
    • Halgrim, S.R.1    Xia, F.2    Solti, I.3    Cadag, E.4    Uzuner, O.5
  • 8
    • 80053268343 scopus 로고    scopus 로고
    • Using machine learning for concept extraction on clinical documents from multiple data sources
    • 3168314, 21709161
    • Torii M, Wagholikar K, Liu H. Using machine learning for concept extraction on clinical documents from multiple data sources. J Am Med Inform Assoc 2011, 18(5):580-587. 10.1136/amiajnl-2011-000155, 3168314, 21709161.
    • (2011) J Am Med Inform Assoc , vol.18 , Issue.5 , pp. 580-587
    • Torii, M.1    Wagholikar, K.2    Liu, H.3
  • 9
    • 16244414494 scopus 로고    scopus 로고
    • Geneva, Switzerland: presented at the Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA)
    • Kim J-D, Ohta T, Tsuruoka Y, Tateisi Y. Introduction to the bio-entity recognition task at JNLPBA 2004, 70-75. Geneva, Switzerland: presented at the Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA).
    • (2004) Introduction to the bio-entity recognition task at JNLPBA , pp. 70-75
    • Kim, J.-D.1    Ohta, T.2    Tsuruoka, Y.3    Tateisi, Y.4
  • 10
    • 84927942432 scopus 로고    scopus 로고
    • Alias-i, LingPipe. [Accessed: 18-Feb-2012]
    • Alias-i. LingPipe http://alias-i.com/lingpipe. [Accessed: 18-Feb-2012].
  • 12
    • 51049099501 scopus 로고    scopus 로고
    • Madrid, Spain: presented at the BioCreative Challenge Evaluation Workshop
    • Carpenter B. LingPipe for 99.99% Recall of Gene Mentions 2007, 307-309. Madrid, Spain: presented at the BioCreative Challenge Evaluation Workshop.
    • (2007) LingPipe for 99.99% Recall of Gene Mentions , pp. 307-309
    • Carpenter, B.1
  • 14
    • 80053241946 scopus 로고    scopus 로고
    • Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
    • 3168309, 21565856
    • de Bruijn B, Cherry C, Kiritchenko S, Martin J, Zhu X. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J Am Med Inform Assoc 2011, 18(5):557-562. 10.1136/amiajnl-2011-000150, 3168309, 21565856.
    • (2011) J Am Med Inform Assoc , vol.18 , Issue.5 , pp. 557-562
    • de Bruijn, B.1    Cherry, C.2    Kiritchenko, S.3    Martin, J.4    Zhu, X.5
  • 15
    • 84927924843 scopus 로고    scopus 로고
    • Geneva, Switzerland: presented at the Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA)
    • Zhou G, Su J. Exploring Deep Knowledge Resources in Biomedical Name Recognition 2004, 96-99. Geneva, Switzerland: presented at the Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA).
    • (2004) Exploring Deep Knowledge Resources in Biomedical Name Recognition , pp. 96-99
    • Zhou, G.1    Su, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.