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Volumn 63, Issue 7, 2012, Pages 1398-1410

A machine-learning approach to negation and speculation detection in clinical texts

Author keywords

biomedical information; machine learning; natural language processing

Indexed keywords

BIOMEDICAL INFORMATION; BIOSCOPES; F-SCORE; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; NATURAL LANGUAGE PROCESSING; REGULAR EXPRESSIONS; SENTENCE LEVEL; TEXT-MINING;

EID: 84862299931     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.22679     Document Type: Article
Times cited : (45)

References (29)
  • 1
  • 3
    • 84873534066 scopus 로고    scopus 로고
    • Medical-Miner: Integraciõn de conocimiento textual explícito en técnicas de minería de datos para la creaciõn de herramientas traslacionales en medicina
    • [Medical-Miner: Integrating explicit knowledge in data mining techniques for the development of translational medicine tools]
    • Buenaga, M., Fernández Riverola, F., Maña, M., Puertas, E., Glez-Peña, D., &, Mata, J., (2010). Medical-Miner: Integraciõn de conocimiento textual explícito en técnicas de minería de datos para la creaciõn de herramientas traslacionales en medicina [Medical-Miner: Integrating explicit knowledge in data mining techniques for the development of translational medicine tools]. Procesamiento del Lenguaje Natural, 47, 319-320.
    • (2010) Procesamiento Del Lenguaje Natural , vol.47 , pp. 319-320
    • Buenaga, M.1    Fernández Riverola, F.2    Maña, M.3    Puertas, E.4    Glez-Peña, D.5    Mata, J.6
  • 5
    • 0035741485 scopus 로고    scopus 로고
    • A simple algorithm for identifying negated findings and diseases in discharge summaries
    • DOI 10.1006/jbin.2001.1029
    • Chapman, W.W., Bridewell, W., Hanbury, P., Cooper, G.F., &, Buchanan, B.G., (2001). A simple algorithm for identifying negated findings and diseases in discharge summaries. Journal of Biomedical Information, 34 (5), 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
    • 79958256661 scopus 로고    scopus 로고
    • What's great and what's not: Learning to classify the scope of negation for improved sentiment analysis
    • R. Morante & C. Sporleder (Eds.), Stroudsburg, PA: Association for Computational Linguistics
    • Councill, I., McDonald, R., &, Velikovich, L., (2010). What's great and what's not: Learning to classify the scope of negation for improved sentiment analysis. In, R. Morante, &, C. Sporleder, (Eds.), Proceedings of the Workshop on Negation and Speculation in Natural Language Processing (NeSp-NLP '10). Stroudsburg, PA: Association for Computational Linguistics.
    • (2010) Proceedings of the Workshop on Negation and Speculation in Natural Language Processing (NeSp-NLP '10)
    • Councill, I.1    McDonald, R.2    Velikovich, L.3
  • 8
    • 84862298902 scopus 로고    scopus 로고
    • Scope of negation detection in sentiment analysis
    • Amsterdam, The Netherlands: IOS Press
    • Dadvar, M., Hauff, C., & de, Jong, F., (2011). Scope of negation detection in sentiment analysis. In Dutch-Belgian Information Retrieval Workshop (pp. 16-20). Amsterdam, The Netherlands: IOS Press.
    • (2011) Dutch-Belgian Information Retrieval Workshop , pp. 16-20
    • Dadvar, M.1    Hauff, C.2    Jong, F.3
  • 10
    • 84856620568 scopus 로고    scopus 로고
    • Natural language processing improves identification of colorectal cancer testing in the electronic medical record
    • Denny, J.C., Choma, N.N., Peterson, J.F., Miller, R.A., Bastarache, L., Li, M., &, Peterson, N.B., (2012). Natural language processing improves identification of colorectal cancer testing in the electronic medical record. Medical Decision Making, 32 (1), 188-197.
    • (2012) Medical Decision Making , vol.32 , Issue.1 , pp. 188-197
    • Denny, J.C.1    Choma, N.N.2    Peterson, J.F.3    Miller, R.A.4    Bastarache, L.5    Li, M.6    Peterson, N.B.7
  • 12
    • 68849109676 scopus 로고    scopus 로고
    • Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems
    • Garcia, S., Fernandez, A., &, Herrera, F., (2009). Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems. Applied Soft Computing, 9, 1304-1314.
    • (2009) Applied Soft Computing , vol.9 , pp. 1304-1314
    • Garcia, S.1    Fernandez, A.2    Herrera, F.3
  • 14
    • 34247380744 scopus 로고    scopus 로고
    • A Novel Hybrid Approach to Automated Negation Detection in Clinical Radiology Reports
    • DOI 10.1197/jamia.M2284, PII S1067502707000461
    • Huang, Y., &, Lowe, H.J., (2007). A novel hybrid approach to automated negation detection in clinical radiology reports. Journal of the American Medical Information Association, 14 (3), 304-311. (Pubitemid 46636340)
    • (2007) Journal of the American Medical Informatics Association , vol.14 , Issue.3 , pp. 304-311
    • Huang, Y.1    Lowe, H.J.2
  • 16
    • 33749558210 scopus 로고    scopus 로고
    • YALE: Rapid prototyping for complex data mining tasks
    • KDD 2006: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    • Mierswa, I., Lemmen, F., Wurst, M., Klinkenberg, R., Scholz, M., &, Euler, T., (2006). YALE: Rapid prototyping for complex data mining tasks. In, L. Ungar, M. Craven, D. Dunopulos, &, T. Eliassi-Rad, (Eds.), Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06) (pp. 935-940). New York, NY: ACM Press. (Pubitemid 44535615)
    • (2006) Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , vol.2006 , pp. 935-940
    • Mierswa, I.1    Wurst, M.2    Klinkenberg, R.3    Scholz, M.4    Euler, T.5
  • 17
    • 70349677742 scopus 로고    scopus 로고
    • Implementation an evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports
    • Mitchell, K.J., Becich, M.J., Berman, J.J., Chapman, W.W., Gilbertson, J., Gupta, D., Crowley, R.S., (2004). Implementation an evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports. Medinformation, 11 (Pt 1), 663-667.
    • (2004) Medinformation , vol.11 , Issue.PART 1 , pp. 663-667
    • Mitchell, K.J.1    Becich, M.J.2    Berman, J.J.3    Chapman, W.W.4    Gilbertson, J.5    Gupta, D.6    Crowley, R.S.7
  • 19
    • 84862290017 scopus 로고    scopus 로고
    • A metalearning approach to processing the scope of negation
    • S. Stevenson & X. Carreras (Eds.),. Stroudsburg, PA: Association of Computational Linguistics
    • Morante, R., &, Daelemans, W., (2009a). A metalearning approach to processing the scope of negation. In, S. Stevenson, &, X. Carreras, (Eds.), Proceedings of the 13th Conference on Computational Natural Language Learning (pp. 21-29). Stroudsburg, PA: Association of Computational Linguistics.
    • (2009) Proceedings of the 13th Conference on Computational Natural Language Learning , pp. 21-29
    • Morante, R.1    Daelemans, W.2
  • 20
    • 78650207232 scopus 로고    scopus 로고
    • Learning the scope of hedge cues in biomedical texts
    • K.B. Cohen, D. Demner-Fushman, S. Ananiadon, J. Pestian, J. Tsujii, & B. Webber (Eds.),. Stroudsburg, PA: Association of Computational Linguistics
    • Morante R, &, Daelemans W., (2009b). Learning the scope of hedge cues in biomedical texts. In, K.B. Cohen, D. Demner-Fushman, S. Ananiadon, J. Pestian, J. Tsujii, &, B. Webber, (Eds.), Proceedings of the Workshop on BioNLP (pp. 28-36). Stroudsburg, PA: Association of Computational Linguistics.
    • (2009) Proceedings of the Workshop on BioNLP , pp. 28-36
    • Morante, R.1    Daelemans, W.2
  • 21
    • 0035180309 scopus 로고    scopus 로고
    • Use of general-purpose negation detection to augment concept indexing of medical documents: A quantitative study using the UMLS
    • Mutalik, P.G., Deshpande, A., &, Nadkarni, P.M., (2001). Use of general purpose negation detection to augment concept indexing of medical documents: A quantitative study using the UMLS. Journal of the American Medical Information Association, 8 (6), 598-609. (Pubitemid 33095499)
    • (2001) Journal of the American Medical Informatics Association , vol.8 , Issue.6 , pp. 598-609
    • Mutalik, P.G.1    Deshpande, A.2    Nadkarni, P.M.3
  • 23
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J.R., (1986). Induction of decision trees. Machine Learning, 1, 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 25
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F., (2002). Machine learning in automated text categorization. ACM Computing Survey, 34 (1), 1-47.
    • (2002) ACM Computing Survey , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 28
    • 85032610029 scopus 로고    scopus 로고
    • The BioScope corpus: Annotation for negation, uncertainty and their scope in biomedical texts
    • D. Demner-Fushman, S. Ananiadon, K.B. Cohen, J. Pestian, J. Tsujii, & B. Webber (Eds.),. Stroudsburg, PA: Association of Computational Linguistics
    • Vince, V., Szarvas, G., Farkas, R., Mõra, G., &, Csirik, J., (2008). The BioScope corpus: Annotation for negation, uncertainty and their scope in biomedical texts. In, D. Demner-Fushman, S. Ananiadon, K.B. Cohen, J. Pestian, J. Tsujii, &, B. Webber, (Eds.), Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP '08) (pp. 38-45). Stroudsburg, PA: Association of Computational Linguistics.
    • (2008) Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP '08) , pp. 38-45
    • Vince, V.1    Szarvas, G.2    Farkas, R.3    Mõra, G.4    Csirik, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.