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Volumn 2, Issue 1, 2011, Pages 1-14

Applications of text mining within systematic reviews

Author keywords

automatic summarization; document classification; document clustering; research synthesis; screening; searching; systematic review; term recognition; text mining

Indexed keywords


EID: 83255176865     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.27     Document Type: Article
Times cited : (146)

References (47)
  • 4
    • 77955287813 scopus 로고    scopus 로고
    • An overview of MetaMap: historical perspective and recent advances
    • Aronson AR, Lang FM. 2010. An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc 17:229–236.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 229-236
    • Aronson, A.R.1    Lang, F.M.2
  • 5
    • 1642390959 scopus 로고    scopus 로고
    • Inferring strategies for sentence ordering in multidocument news summarization
    • Barzilay R, Elhadad N, McKeown K. 2002. Inferring strategies for sentence ordering in multidocument news summarization. J Artif Intell Res 17:35–55.
    • (2002) J Artif Intell Res , vol.17 , pp. 35-55
    • Barzilay, R.1    Elhadad, N.2    McKeown, K.3
  • 6
    • 62149144693 scopus 로고    scopus 로고
    • Beyond the data deluge
    • Bell G, Hey T, Szalay A. 2009. Beyond the data deluge. Science 323(5919):1297–1308.
    • (2009) Science , vol.323 , Issue.5919 , pp. 1297-1308
    • Bell, G.1    Hey, T.2    Szalay, A.3
  • 7
    • 33845221513 scopus 로고    scopus 로고
    • Boosting for text classification with semantic features
    • pp, Springer,, Berlin
    • Bloehdorn S, Hotho A. 2006. Boosting for text classification with semantic features, in Lecture Notes in Computer Science, pp149–166. Springer, Berlin.
    • (2006) Lecture Notes in Computer Science , pp. 149-166
    • Bloehdorn, S.1    Hotho, A.2
  • 9
    • 70349843318 scopus 로고    scopus 로고
    • A bottom-up approach to sentence ordering for multi-document summarization
    • Okazaki, et al
    • Bollegala DN, Okazaki, et al. 2010. A bottom-up approach to sentence ordering for multi-document summarization. Information Processing and Management 46(1):89–109.
    • (2010) Information Processing and Management , vol.46 , Issue.1 , pp. 89-109
    • Bollegala, D.N.1
  • 12
    • 69549124138 scopus 로고    scopus 로고
    • Cross-topic learning for work prioritization in systematic review creation and update
    • Cohen AM, Ambert K, McDonagh M. 2009. Cross-topic learning for work prioritization in systematic review creation and update. J Am Med Inform Assoc 16:690–704.
    • (2009) J Am Med Inform Assoc , vol.16 , pp. 690-704
    • Cohen, A.M.1    Ambert, K.2    McDonagh, M.3
  • 13
    • 33644696493 scopus 로고    scopus 로고
    • Reducing workload in systematic review preparation using automated citation classification
    • Cohen AM, Hersh WR. 2006. Reducing workload in systematic review preparation using automated citation classification. J Am Med Inform Assoc: JAMIA 13(2):206–219.
    • (2006) J Am Med Inform Assoc: JAMIA , vol.13 , Issue.2 , pp. 206-219
    • Cohen, A.M.1    Hersh, W.R.2
  • 17
    • 84862160226 scopus 로고    scopus 로고
    • EPPI-Centre, Social Science Research Unit, Institute of Education, University of London, London
    • EPPI-Centre. 2006. EPPI—Centre Methods for Conducting Systematic Reviews. EPPI-Centre, Social Science Research Unit, Institute of Education, University of London, London.
    • (2006) EPPI—Centre Methods for Conducting Systematic Reviews
  • 18
    • 78650633610 scopus 로고    scopus 로고
    • Automatic recognition of multi-word terms: the C-value /NC-value method
    • Frantzi K, Ananiadou S, Mima H. 2000. Automatic recognition of multi-word terms: the C-value /NC-value method. Int J Digit Libr 3(2):115–130.
    • (2000) Int J Digit Libr , vol.3 , Issue.2 , pp. 115-130
    • Frantzi, K.1    Ananiadou, S.2    Mima, H.3
  • 20
    • 4744372387 scopus 로고    scopus 로고
    • Systematic research synthesis to inform policy, practice and democratic debate
    • Gough D, Elbourne D. 2002. Systematic research synthesis to inform policy, practice and democratic debate. Soc Policy Soc 1:225–236.
    • (2002) Soc Policy Soc , vol.1 , pp. 225-236
    • Gough, D.1    Elbourne, D.2
  • 21
    • 85167518884 scopus 로고    scopus 로고
    • Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL 1999), Stroudsburg, PA, U.S.A
    • Hearst M. 1999. Untangling text data mining. Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL 1999), Stroudsburg, PA, U.S.A.
    • (1999) Untangling text data mining
    • Hearst, M.1
  • 22
    • 85167504750 scopus 로고    scopus 로고
    • Proceedings of the Workshop ‘Text Learning Beyond Supervision’ at IJCAI 2001, Seattle, WA, U.S.A
    • Hotho A, Staab S, Maedche A. 2001. Ontology-based text clustering. Proceedings of the Workshop ‘Text Learning: Beyond Supervision’ at IJCAI 2001, Seattle, WA, U.S.A.
    • (2001) Ontology-based text clustering
    • Hotho, A.1    Staab, S.2    Maedche, A.3
  • 23
    • 60949085230 scopus 로고    scopus 로고
    • Multi-label literature classification based on the Gene Ontology graph
    • Jin B, Muller B, Zhai C, Lu X. 2008. Multi-label literature classification based on the Gene Ontology graph. BMC Bioinformatics 9(1):525.
    • (2008) BMC Bioinformatics , vol.9 , Issue.1 , pp. 525
    • Jin, B.1    Muller, B.2    Zhai, C.3    Lu, X.4
  • 24
    • 8444226720 scopus 로고    scopus 로고
    • Term identification in the biomedical literature
    • (Special Issue on Named Entity Recognition in Biomedicine)
    • Krauthammer M, Nenadic G. 2004. Term identification in the biomedical literature. J Biomed Inform (Special Issue on Named Entity Recognition in Biomedicine) 37(6):512–526.
    • (2004) J Biomed Inform , vol.37 , Issue.6 , pp. 512-526
    • Krauthammer, M.1    Nenadic, G.2
  • 25
    • 85167521664 scopus 로고    scopus 로고
    • Document Understanding Workshop (DUC). Workshop on Text Summarization, DUC 2001. September 13–14, 2001 New Orleans, Louisiana U.S.A. In Conjunction with the ACM SIGIR Conference, 2001
    • Lin C, Hovy E. 2001. Neats: a multidocument summarizer. Document Understanding Workshop (DUC). Workshop on Text Summarization, DUC 2001. September 13–14, 2001 New Orleans, Louisiana U.S.A. In Conjunction with the ACM SIGIR Conference, 2001.
    • (2001) Neats: a multidocument summarizer
    • Lin, C.1    Hovy, E.2
  • 28
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • Nigam K, McCallum AK, Thrun S, Mitchell T. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning 39(2/3):103–134.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 29
    • 33845358346 scopus 로고    scopus 로고
    • Building an abbreviation dictionary using a term recognition approach
    • Okazaki N, Ananiadou S. 2006. Building an abbreviation dictionary using a term recognition approach. Bioinformatics 22(24):3089–3095.
    • (2006) Bioinformatics , vol.22 , Issue.24 , pp. 3089-3095
    • Okazaki, N.1    Ananiadou, S.2
  • 30
    • 77952829690 scopus 로고    scopus 로고
    • Building a high quality sense inventory for improved abbreviation disambiguation
    • Okazaki N, Ananiadou S, Tsujii J. 2010. Building a high quality sense inventory for improved abbreviation disambiguation. Bioinformatics btq129.
    • (2010) Bioinformatics , pp. btq129
    • Okazaki, N.1    Ananiadou, S.2    Tsujii, J.3
  • 31
    • 33745163931 scopus 로고    scopus 로고
    • Improving chronological ordering of sentences extracted from multiple newspaper articles
    • Okazaki N, Matsuo Y, Ishizuka M. 2005. Improving chronological ordering of sentences extracted from multiple newspaper articles. ACM Trans Asian Lang Inform Process 4(3):321–339.
    • (2005) ACM Trans Asian Lang Inform Process , vol.4 , Issue.3 , pp. 321-339
    • Okazaki, N.1    Matsuo, Y.2    Ishizuka, M.3
  • 33
    • 0000670441 scopus 로고    scopus 로고
    • Generating natural language summaries from multiple on-line sources
    • Radev DR, McKeown K. 1999. Generating natural language summaries from multiple on-line sources. Comput Linguist 24(3):469–500.
    • (1999) Comput Linguist , vol.24 , Issue.3 , pp. 469-500
    • Radev, D.R.1    McKeown, K.2
  • 35
    • 33645107704 scopus 로고    scopus 로고
    • Automatic assignment of biomedical categories: toward a generic approach
    • Ruch P. 2006. Automatic assignment of biomedical categories: toward a generic approach. Bioinformatics 22(6):658–664.
    • (2006) Bioinformatics , vol.22 , Issue.6 , pp. 658-664
    • Ruch, P.1
  • 37
    • 68049116952 scopus 로고    scopus 로고
    • Clinical text classification under the open and closed topic assumptions
    • Sasaki Y, Rea B, Ananiadou S. 2009. Clinical text classification under the open and closed topic assumptions. Int J Data Mining Bioinform (IJDMB) 3(3):299–313.
    • (2009) Int J Data Mining Bioinform (IJDMB) , vol.3 , Issue.3 , pp. 299-313
    • Sasaki, Y.1    Rea, B.2    Ananiadou, S.3
  • 38
    • 33749557643 scopus 로고    scopus 로고
    • Ontology-based automatic classification of Web documents
    • pp, Springer, Berlin
    • Song M, Lim SY, Kang DJ, Lee SJ. 2006. Ontology-based automatic classification of Web documents. Lecture Notes in Computer Science, pp 690–700. Springer, Berlin.
    • (2006) Lecture Notes in Computer Science , pp. 690-700
    • Song, M.1    Lim, S.Y.2    Kang, D.J.3    Lee, S.J.4
  • 40
    • 47749126232 scopus 로고    scopus 로고
    • Methods for the thematic synthesis of qualitative research in systematic reviews
    • Thomas J, Harden A. 2008.Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol 8(45).
    • (2008) BMC Med Res Methodol , vol.8 , Issue.45
    • Thomas, J.1    Harden, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.