메뉴 건너뛰기




Volumn 21, Issue 3, 2014, Pages 448-454

Discovering body site and severity modifiers in clinical texts

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL ERROR; ARTICLE; BODY SITE MODIFIER; CLINICAL TEXT; CONTROLLED STUDY; DATA EXTRACTION; KERNEL METHOD; MEDICAL INFORMATION; NARRATIVE; NATURAL LANGUAGE PROCESSING; SEMANTICS; SEVERITY MODIFIER; SUPPORT VECTOR MACHINE; UNIFIED MEDICAL LANGUAGE SYSTEM; ANATOMY; BIOMEDICAL INFORMATICS; ELECTRONIC MEDICAL RECORD; HUMAN; INFORMATION EXTRACTION; RELATION EXTRACTION; SEVERITY OF ILLNESS INDEX;

EID: 84901834501     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001766     Document Type: Article
Times cited : (26)

References (44)
  • 1
    • 84902363877 scopus 로고    scopus 로고
    • Unified Medical Language System (accessed 2/8/2013).
    • Unified Medical Language System. http://www.nlm.nih.gov/research/umls/ (accessed 2/8/2013).
  • 2
    • 0842283377 scopus 로고    scopus 로고
    • Exploring semantic groups through visual approaches
    • Bodenreider O, McCray AT. Exploring semantic groups through visual approaches. J Biomed Inform. 2003;36:414.
    • (2003) J Biomed Inform , vol.36 , pp. 414
    • Bodenreider, O.1    McCray, A.T.2
  • 3
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: the Penn treebank
    • Marcus MP, Marcinkiewicz MA, Santorini B. Building a large annotated corpus of English: the Penn treebank. Comput Linguist 1993;19:313-30.
    • (1993) Comput Linguist , vol.19 , pp. 313-330
    • Marcus, M.P.1    Marcinkiewicz, M.A.2    Santorini, B.3
  • 4
    • 33645983416 scopus 로고    scopus 로고
    • The proposition bank: an annotated corpus of semantic roles
    • Palmer M, Gildea D, Kingsbury P. The proposition bank: an annotated corpus of semantic roles. Comput Linguist 2005;31:71-106.
    • (2005) Comput Linguist , vol.31 , pp. 71-106
    • Palmer, M.1    Gildea, D.2    Kingsbury, P.3
  • 6
    • 84902371782 scopus 로고    scopus 로고
    • Standards & Interoperability Framework (accessed 1/3/2013).
    • Standards & Interoperability Framework. http://wiki.siframework.org/file/view/ Companion_Guide_Draft+3+for+Consensus_10012012.pdf (accessed 1/3/2013).
  • 8
    • 84902371783 scopus 로고    scopus 로고
    • Automatic Content Extraction (accessed 2/8/2013).
    • Automatic Content Extraction. http://www.itl.nist.gov/iad/mig/tests/ace/ (accessed 2/8/2013).
  • 9
    • 84902379423 scopus 로고    scopus 로고
    • Text Analysis Conferences (accessed 2/8/2013).
    • Text Analysis Conferences. http://www.nist.gov/tac/ (accessed 2/8/2013).
  • 10
    • 84902371780 scopus 로고    scopus 로고
    • Clinical Element Model (accessed 2/8/2013).
    • Clinical Element Model. http://www.clinicalelement.com/ (accessed 2/8/2013).
  • 11
    • 70349473063 scopus 로고    scopus 로고
    • Automatically extracting cancer disease characteristics from pathology reports into a disease knowledge representation model
    • Coden A, Savova G, Sominsky I, et al. Automatically extracting cancer disease characteristics from pathology reports into a disease knowledge representation model. J Biomed Inform 2009;42:937.
    • (2009) J Biomed Inform , vol.42 , pp. 937
    • Coden, A.1    Savova, G.2    Sominsky, I.3
  • 12
    • 77955291008 scopus 로고    scopus 로고
    • caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research
    • Crowley RS, Castine M, Mitchell K, et al. caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research. J Am Med Inform Assoc 2010;17:253-64.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 253-264
    • Crowley, R.S.1    Castine, M.2    Mitchell, K.3
  • 14
    • 84861322936 scopus 로고    scopus 로고
    • Automated classification of free-text pathology reports for registration of incident cases of cancer
    • Jouhet V, Defossez G, Burgun A, et al. Automated classification of free-text pathology reports for registration of incident cases of cancer. Methods Inf Med 2012;51:242.
    • (2012) Methods Inf Med , vol.51 , pp. 242
    • Jouhet, V.1    Defossez, G.2    Burgun, A.3
  • 23
    • 80053292637 scopus 로고    scopus 로고
    • 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
    • Uzuner ö, South BR, Shen S, et al. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. J Am Med Inform Assoc 2011;18:552-6.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 552-556
    • Uzuner, ö.1    South, B.R.2    Shen, S.3
  • 25
    • 59449097589 scopus 로고    scopus 로고
    • Open information extraction from the web
    • Etzioni O, Banko M, Soderland S, et al. Open information extraction from the web. Commun ACM 2008;51:68-74.
    • (2008) Commun ACM , vol.51 , pp. 68-74
    • Etzioni, O.1    Banko, M.2    Soderland, S.3
  • 26
    • 84455197425 scopus 로고    scopus 로고
    • Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.
    • Wu F, Weld DS. Open information extraction using Wikipedia. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. 2010.
    • (2010) Open information extraction using Wikipedia
    • Wu, F.1    Weld, D.S.2
  • 28
    • 78149490620 scopus 로고    scopus 로고
    • Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
    • Savova GK, Masanz JJ, Ogren PV, et al. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J Am Med Infor Assoc 2010;17:507-13.
    • (2010) J Am Med Infor Assoc , vol.17 , pp. 507-513
    • Savova, G.K.1    Masanz, J.J.2    Ogren, P.V.3
  • 29
    • 84902379418 scopus 로고    scopus 로고
    • Clinical Text Analysis and Knowledge Extraction System (cTAKES) (accessed 2/8/2013).
    • Clinical Text Analysis and Knowledge Extraction System (cTAKES). http://incubator. apache.org/ctakes/ (accessed 2/8/2013).
  • 30
    • 84902379413 scopus 로고    scopus 로고
    • Strategic Health Advanced Research Project (SHARP) (accessed 2/8/2013).
    • Strategic Health Advanced Research Project (SHARP). http://www.sharpn.org (accessed 2/8/2013).
  • 31
    • 84902386865 scopus 로고    scopus 로고
    • Shared Annotated Resource (ShARe) (accessed 2/8/2013).
    • Shared Annotated Resource (ShARe). https://www.clinicalnlpannotation.org (accessed 2/8/2013).
  • 33
    • 84865077477 scopus 로고    scopus 로고
    • Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project
    • Rea S, Pathak J, Savova G, et al. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project. J Biomed Inform 2012;45:763-71.
    • (2012) J Biomed Inform , vol.45 , pp. 763-771
    • Rea, S.1    Pathak, J.2    Savova, G.3
  • 34
    • 84902379416 scopus 로고    scopus 로고
    • PhysioNet, (accessed 2/8/2013).
    • PhysioNet. http://www.physionet.org (accessed 2/8/2013).
  • 36
    • 80053241946 scopus 로고    scopus 로고
    • Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
    • de Bruijn B, Cherry C, Kiritchenko S, et al. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J Am Med Inform Assoc 2011;18:557-62.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 557-562
    • de Bruijn, B.1    Cherry, C.2    Kiritchenko, S.3
  • 37
    • 80053268344 scopus 로고    scopus 로고
    • Automatic extraction of relations between medical concepts in clinical texts
    • Rink B, Harabagiu S, Roberts K. Automatic extraction of relations between medical concepts in clinical texts. J Am Med Inform Assoc 2011;18:594-600.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 594-600
    • Rink, B.1    Harabagiu, S.2    Roberts, K.3
  • 41
    • 84890520754 scopus 로고    scopus 로고
    • Towards comprehensive syntactic and semantic annotations of the clinical narrative
    • Albright D, Lanfranchi A, Fredriksen A, et al. Towards comprehensive syntactic and semantic annotations of the clinical narrative. J Am Med Inform Assoc 2013;20:922-30.
    • (2013) J Am Med Inform Assoc , vol.20 , pp. 922-930
    • Albright, D.1    Lanfranchi, A.2    Fredriksen, A.3
  • 42
    • 18044385763 scopus 로고    scopus 로고
    • Agreement, the f-measure, and reliability in information retrieval
    • Hripcsak G, Rothschild AS. Agreement, the f-measure, and reliability in information retrieval. J Am Med Inform Assoc 2005;12:296-8.
    • (2005) J Am Med Inform Assoc , vol.12 , pp. 296-298
    • Hripcsak, G.1    Rothschild, A.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.