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Volumn 16, Issue 1, 2015, Pages

Feature engineering for MEDLINE citation categorization with MeSH

Author keywords

Biomedical literature; Feature engineering; MeSH indexing; Text categorization

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; INDEXING (OF INFORMATION); LEARNING SYSTEMS; METADATA; SEMANTICS; TEXT PROCESSING;

EID: 84928573052     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0539-7     Document Type: Article
Times cited : (19)

References (58)
  • 1
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani F. Machine learning in automated text categorization. ACM Comput Surveys (CSUR). 2002; 34:1-47.
    • (2002) ACM Comput Surveys (CSUR) , vol.34 , pp. 1-47
    • Sebastiani, F.1
  • 3
    • 0010836411 scopus 로고    scopus 로고
    • Feature engineering for text classification
    • Citeseer
    • Scott S, Matwin S. Feature engineering for text classification. In: ICML, Volume 99. Citeseer: 1999. p. 379-88.
    • (1999) ICML , vol.99 , pp. 379-388
    • Scott, S.1    Matwin, S.2
  • 4
    • 0345863927 scopus 로고    scopus 로고
    • The unified medical language system (UMLS): integrating biomedical terminology
    • Bodenreider O. The unified medical language system (UMLS): integrating biomedical terminology. Nucleic Acids Res. 2004; 32(suppl 1):D267-70.
    • (2004) Nucleic Acids Res , vol.32 , pp. D267-D270
    • Bodenreider, O.1
  • 6
    • 85067730716 scopus 로고    scopus 로고
    • Argumentative feedback: a linguistically-motivated term expansion for information retrieval
    • Association for Computational Linguistics
    • Ruch P, Tbahriti I, Gobeill J, Aronson AR. Argumentative feedback: a linguistically-motivated term expansion for information retrieval. In: Proceedings of the COLING/ACL on Main conference poster sessions. Association for Computational Linguistics: 2006. p. 675-82.
    • (2006) Proceedings of the COLING/ACL on Main conference poster sessions , pp. 675-682
    • Ruch, P.1    Tbahriti, I.2    Gobeill, J.3    Aronson, A.R.4
  • 10
    • 1942484786 scopus 로고    scopus 로고
    • Tackling the poor assumptions of naive bayes text classifiers
    • Washington DC
    • Rennie JD, Shih L, Teevan J, Karger DR. Tackling the poor assumptions of naive bayes text classifiers. In: ICML, Volume 3. Washington DC: 2003. p. 616-23.
    • (2003) ICML , vol.3 , pp. 616-623
    • Rennie, J.D.1    Shih, L.2    Teevan, J.3    Karger, D.R.4
  • 11
    • 84901267295 scopus 로고    scopus 로고
    • Comparison and combination of several MeSH indexing approaches
    • American Medical Informatics Association
    • Jimeno Yepes A, Mork JG, Aronson AR. Comparison and combination of several MeSH indexing approaches. In: AMIA annual symposium proceedings. Volume 2013. American Medical Informatics Association: 2013.
    • (2013) AMIA annual symposium proceedings , vol.2013
    • Jimeno Yepes, A.1    Mork, J.G.2    Aronson, A.R.3
  • 16
    • 84928571424 scopus 로고    scopus 로고
    • Using Bigrams in Text Categorization
    • Bekkerman R, Allan J. Using Bigrams in Text Categorization; 2003.
    • (2003)
    • Bekkerman, R.1    Allan, J.2
  • 18
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • Pang B, Lee L, Vaithyanathan S. Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of EMNLP: 2002. p. 79-86.
    • (2002) Proceedings of EMNLP , pp. 79-86
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 19
    • 0011886331 scopus 로고    scopus 로고
    • A case study in using linguistic phrases for text categorization on the www.
    • Working Notes of the AAAI/ICML Workshop on Learning for Text Categorization. AAAI Press
    • Furnkranz J, Mitchell T, Riloff E. A case study in using linguistic phrases for text categorization on the www. In: Working Notes of the AAAI/ICML Workshop on Learning for Text Categorization. AAAI Press: 1998. p. 5-12.
    • (1998) , pp. 5-12
    • Furnkranz, J.1    Mitchell, T.2    Riloff, E.3
  • 20
    • 84880747531 scopus 로고    scopus 로고
    • Feature generation for text categorization using world knowledge
    • Gabrilovich E, Markovitch S. Feature generation for text categorization using world knowledge. In: IJCAI 05: 2005. p. 1048-53.
    • (2005) IJCAI 05 , pp. 1048-1053
    • Gabrilovich, E.1    Markovitch, S.2
  • 22
    • 45849122150 scopus 로고    scopus 로고
    • Optimal training sets for bayesian prediction of MeSH®; assignment
    • Sohn S, Kim W, Comeau DC, Wilbur WJ. Optimal training sets for bayesian prediction of MeSH®; assignment. J Am Med Informatics Assoc. 2008; 15(4):546-53.
    • (2008) J Am Med Informatics Assoc , vol.15 , Issue.4 , pp. 546-553
    • Sohn, S.1    Kim, W.2    Comeau, D.C.3    Wilbur, W.J.4
  • 23
    • 39049188374 scopus 로고    scopus 로고
    • The effect of feature representation on MEDLINE document classification.
    • American Medical Informatics Association
    • Yetisgen-Yildiz M, Pratt W. The effect of feature representation on MEDLINE document classification. In: AMIA annual symposium proceedings. Volume 2005. American Medical Informatics Association: 2005. p. 849.
    • (2005) AMIA annual symposium proceedings , vol.2005 , pp. 849
    • Yetisgen-Yildiz, M.1    Pratt, W.2
  • 24
    • 85030313899 scopus 로고
    • OHSUMED: An interactive retrieval evaluation and new large test collection for research
    • Springer
    • Hersh W, Buckley C, Leone T, Hickam D. OHSUMED: An interactive retrieval evaluation and new large test collection for research. In: SIGIR 94. Springer: 1994. p. 192-201.
    • (1994) SIGIR 94 , pp. 192-201
    • Hersh, W.1    Buckley, C.2    Leone, T.3    Hickam, D.4
  • 26
    • 84875311156 scopus 로고    scopus 로고
    • Using cited references to improve the retrieval of related biomedical documents
    • Ortuño FM, Rojas I, Andrade-Navarro MA, Fontaine JF. Using cited references to improve the retrieval of related biomedical documents. BMC Bioinf. 2013; 14:113.
    • (2013) BMC Bioinf , vol.14 , pp. 113
    • Ortuño, F.M.1    Rojas, I.2    Andrade-Navarro, M.A.3    Fontaine, J.F.4
  • 28
    • 84928565278 scopus 로고    scopus 로고
    • BioASQ workshop (accessed May 1st, 2014).
    • BioASQ workshop (accessed May 1st, 2014). [http://www.bioasq.org/workshop1/schedule]
  • 29
    • 84922489143 scopus 로고    scopus 로고
    • Evaluating feature selection methods for multi-label text classication
    • Spolaor N, Tsoumakas G. Evaluating feature selection methods for multi-label text classication. In: BioASQ workhsop: 2013.
    • (2013) BioASQ workhsop
    • Spolaor, N.1    Tsoumakas, G.2
  • 30
    • 84904442749 scopus 로고    scopus 로고
    • The NLM medical text indexer system for indexing biomedical literature
    • Mork JG, Jimeno Yepes A, Aronson AR. The NLM medical text indexer system for indexing biomedical literature. In: BioASQ workhsop: 2013.
    • (2013) BioASQ workhsop
    • Mork, J.G.1    Jimeno Yepes, A.2    Aronson, A.R.3
  • 31
    • 0002428766 scopus 로고
    • Learning to classify English text with ILP methods
    • Cohen WW. Learning to classify English text with ILP methods. Advances in inductive logic programming. 1995; 32:124-43.
    • (1995) Advances in inductive logic programming , vol.32 , pp. 124-143
    • Cohen, W.W.1
  • 32
    • 56649088346 scopus 로고    scopus 로고
    • Automatic inference of indexing rules for MEDLINE
    • Névéol A, Shooshan S, Claveau V. Automatic inference of indexing rules for MEDLINE. BMC Bioinf. 2008; 9(Suppl 11):S11.
    • (2008) BMC Bioinf , vol.9 , pp. S11
    • Névéol, A.1    Shooshan, S.2    Claveau, V.3
  • 33
    • 0035752429 scopus 로고    scopus 로고
    • Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
    • Aronson A. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. In: Proceedings of the AMIA Symposium: 2001. p. 17-21.
    • (2001) Proceedings of the AMIA Symposium , pp. 17-21
    • Aronson, A.1
  • 34
    • 77955287813 scopus 로고    scopus 로고
    • An overview of MetaMap: historical perspective and recent advances
    • Aronson AR, Lang FM. An overview of MetaMap: historical perspective and recent advances. J Am Med Informatics Assoc. 2010; 17(3):229-36.
    • (2010) J Am Med Informatics Assoc , vol.17 , Issue.3 , pp. 229-236
    • Aronson, A.R.1    Lang, F.M.2
  • 35
    • 84928528983 scopus 로고    scopus 로고
    • MetaMap (accessed March 13th, 2014)
    • MetaMap (accessed March 13th, 2014). [http://metamap.nlm.nih.gov/]
  • 36
    • 38549166666 scopus 로고    scopus 로고
    • PubMed related articles: a probabilistic topic-based model for content similarity
    • Lin J, Wilbur W. PubMed related articles: a probabilistic topic-based model for content similarity. BMC Bioinf. 2007; 8:423.
    • (2007) BMC Bioinf , vol.8 , pp. 423
    • Lin, J.1    Wilbur, W.2
  • 38
    • 0036643010 scopus 로고    scopus 로고
    • The use of bigrams to enhance text categorization
    • Tan CM, Wang YF, Lee CD. The use of bigrams to enhance text categorization. Inf Process Manage. 2002; 38(4):529-46.
    • (2002) Inf Process Manage , vol.38 , Issue.4 , pp. 529-546
    • Tan, C.M.1    Wang, Y.F.2    Lee, C.D.3
  • 39
    • 84928529859 scopus 로고    scopus 로고
    • (accessed March 13th, 2014)
    • UMLS (Unified Medical Language System) (accessed March 13th, 2014). [http://www.nlm.nih.gov/research/umls/]
  • 40
    • 84928531904 scopus 로고    scopus 로고
    • (accessed March 13th, 2014
    • UMLS Reference Manual (accessed March 13th, 2014). [http://www.ncbi.nlm.nih.gov/books/NBK9676/]
  • 41
    • 5044241106 scopus 로고    scopus 로고
    • MedPost: a part-of-speech tagger for bioMedical text
    • Smith L, Rindflesch T, Wilbur WJ. MedPost: a part-of-speech tagger for bioMedical text. Bioinformatics (Oxford, England). 2004; 20(14):2320-1. [http://dx.doi.org/10.1093/bioinformatics/bth227]
    • (2004) Bioinformatics (Oxford, England) , vol.20 , Issue.14 , pp. 2320-2321
    • Smith, L.1    Rindflesch, T.2    Wilbur, W.J.3
  • 43
    • 84928528731 scopus 로고    scopus 로고
    • 2014 Vocabulary Density Study Datasets (accessed Dec 16th, 2014)
    • 2014 Vocabulary Density Study Datasets (accessed Dec 16th, 2014). [http://ii.nlm.nih.gov/DataSets/index.shtml#2014_VocabDensity]
  • 46
    • 30444452023 scopus 로고    scopus 로고
    • Using argumentation to retrieve articles with similar citations: An inquiry into improving related articles search in the MEDLINE digital library
    • Tbahriti I, Chichester C, Lisacek F, Ruch P. Using argumentation to retrieve articles with similar citations: An inquiry into improving related articles search in the MEDLINE digital library. Int J Med Informatics. 2005:75.
    • (2005) Int J Med Informatics , pp. 75
    • Tbahriti, I.1    Chichester, C.2    Lisacek, F.3    Ruch, P.4
  • 47
    • 84874250313 scopus 로고    scopus 로고
    • Evaluating the use of different positional strategies for sentence selection in biomedical literature summarization
    • Plaza L, Carrillo-de Albornoz J. Evaluating the use of different positional strategies for sentence selection in biomedical literature summarization. BMC Bioinf. 2013; 14:71.
    • (2013) BMC Bioinf , vol.14 , pp. 71
    • Plaza, L.1    Carrillo-de Albornoz, J.2
  • 48
    • 79955487289 scopus 로고    scopus 로고
    • A retrospective cohort study of structured abstracts in MEDLINE, 1992-2006
    • Ripple AM, Mork JG, Knecht LS, Humphreys BL. A retrospective cohort study of structured abstracts in MEDLINE, 1992-2006. J Med Library Assoc. 2011; 99(2):160.
    • (2011) J Med Library Assoc , vol.99 , Issue.2 , pp. 160
    • Ripple, A.M.1    Mork, J.G.2    Knecht, L.S.3    Humphreys, B.L.4
  • 49
    • 79960922528 scopus 로고    scopus 로고
    • A semantic graph-based approach to biomedical summarisation
    • Plaza L, Díaz A, Gervás P.A semantic graph-based approach to biomedical summarisation. Artif Intelligence Med. 2011; 53:1-14.
    • (2011) Artif Intelligence Med , vol.53 , pp. 1-14
    • Plaza, L.1    Díaz, A.2    Gervás, P.3
  • 50
    • 84928570508 scopus 로고    scopus 로고
    • MTI ML 2013 data set (accessed May 1st, 2014).
    • MTI ML 2013 data set (accessed May 1st, 2014). [http://ii.nlm.nih.gov/DataSets/index.shtml#2013_MTI_ML]
  • 51
    • 84928521709 scopus 로고    scopus 로고
    • Text categorization with support vector machines: learning with many relevant features: Springer
    • Joachims T. Text categorization with support vector machines: learning with many relevant features: Springer; 1998.
    • (1998)
    • Joachims, T.1
  • 52
    • 84928547452 scopus 로고    scopus 로고
    • MTI ML site (accessed May 1st, 2014)
    • MTI ML site (accessed May 1st, 2014). [http://ii.nlm.nih.gov/MTI_ML]
  • 54
    • 84928532337 scopus 로고    scopus 로고
    • SVM-perf site (accessed May 1st, 2014).
    • SVM-perf site (accessed May 1st, 2014). [http://www.cs.cornell.edu/People/tj/svm_light/svm_perf.html]
  • 56
    • 85008250432 scopus 로고    scopus 로고
    • A one-size-fits-all indexing method does not exist: automatic selection based on meta-learning
    • Jimeno-Yepes A, Mork JG, Demner-Fushman D, Aronson AR. A one-size-fits-all indexing method does not exist: automatic selection based on meta-learning. JCSE. 2012; 6(2):151-60.
    • (2012) JCSE , vol.6 , Issue.2 , pp. 151-160
    • Jimeno-Yepes, A.1    Mork, J.G.2    Demner-Fushman, D.3    Aronson, A.R.4
  • 57
    • 84928530412 scopus 로고    scopus 로고
    • SVM-Light Support Vector Machine, University of Dortmund
    • Joachims T. Svmlight: Support vector machine. SVM-Light Support Vector Machine, University of Dortmund. 1999; 19(4). http://svmlight.joachims.org/ .
    • (1999) Svmlight: Support vector machine , vol.19 , Issue.4
    • Joachims, T.1
  • 58
    • 84928555968 scopus 로고    scopus 로고
    • Deep belief networks and biomedical text categorisation
    • Australasian Language Technology Association Workshop
    • Jimeno Yepes A, MacKinlay A, Bedo J, Garnavi R, Chen Q. Deep belief networks and biomedical text categorisation. In: Australasian Language Technology Association Workshop: 2014. p. 123.
    • (2014) , pp. 123
    • Jimeno Yepes, A.1    MacKinlay, A.2    Bedo, J.3    Garnavi, R.4    Chen, Q.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.