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Volumn 2017, Issue , 2017, Pages

Exploring convolutional neural networks for drug–drug interaction extraction

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DATA MINING; DRUG INTERACTION; INFORMATION PROCESSING; NATURAL LANGUAGE PROCESSING; PROCEDURES; SUPPORT VECTOR MACHINE; THEORETICAL MODEL;

EID: 85032377041     PISSN: 17580463     EISSN: None     Source Type: Journal    
DOI: 10.1093/database/bax019     Document Type: Article
Times cited : (21)

References (29)
  • 1
    • 33646362517 scopus 로고    scopus 로고
    • Adverse drug reactions in United States hospitals
    • Bond,C.A. and Raehl,C.L. (2006) Adverse drug reactions in United States hospitals. Pharmacotherapy, 26, 601–608.
    • (2006) Pharmacotherapy , vol.26 , pp. 601-608
    • Bond, C.A.1    Raehl, C.L.2
  • 3
    • 3042806975 scopus 로고    scopus 로고
    • Detection, verification, and quantification of adverse drug reactions
    • Stricker,B.H.C. and Psaty,B.M. (2004) Detection, verification, and quantification of adverse drug reactions. Br. Med. J., 329, 44–47.
    • (2004) Br. Med. J , vol.329 , pp. 44-47
    • Stricker, B.H.C.1    Psaty, B.M.2
  • 4
    • 0038270650 scopus 로고    scopus 로고
    • Drug interaction management
    • Hansten,P.D. (2003) Drug interaction management. Pharm. World Sci., 25, 94–97.
    • (2003) Pharm. World Sci , vol.25 , pp. 94-97
    • Hansten, P.D.1
  • 5
    • 36749001490 scopus 로고    scopus 로고
    • Extracting drug-drug interaction articles from MEDLINE to improve the content of drug databases
    • Duda,S., Aliferis,C., Miller,R., et al. (2005) Extracting drug-drug interaction articles from MEDLINE to improve the content of drug databases. In: AMIA Annual Symposium Proceedings, 2005, 216–220. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1560879/
    • (2005) AMIA Annual Symposium Proceedings , vol.2005 , pp. 216-220
    • Duda, S.1    Aliferis, C.2    Miller, R.3
  • 6
    • 84959449121 scopus 로고    scopus 로고
    • Drug-drug interaction extraction via convolutional neural networks
    • Liu,S., Tang,B., Chen,Q. and Wang,X. (2016) Drug-drug interaction extraction via convolutional neural networks. Comput. Math. Methods Med., 2016, 6918381.
    • (2016) Comput. Math. Methods Med , vol.2016 , pp. 6918381
    • Liu, S.1    Tang, B.2    Chen, Q.3    Wang, X.4
  • 7
    • 85008626797 scopus 로고    scopus 로고
    • Drug-drug interaction extraction from biomedical literature using syntax convolutional neural network
    • Zhao,Z., Yang,Z., Luo,L. et al. (2016) Drug-drug interaction extraction from biomedical literature using syntax convolutional neural network. Bioinformatics, 32, 3444–3453.
    • (2016) Bioinformatics , vol.32 , pp. 3444-3453
    • Zhao, Z.1    Yang, Z.2    Luo, L.3
  • 10
    • 84930689846 scopus 로고    scopus 로고
    • Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach
    • Kim,S., Liu,H., Yeganova,L. and John Wilbur,W. (2015) Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach. J. Biomed. Informatics, 55, 23–30.
    • (2015) J. Biomed. Informatics , vol.55 , pp. 23-30
    • Kim, S.1    Liu, H.2    Yeganova, L.3    John Wilbur, W.4
  • 11
    • 85021209855 scopus 로고    scopus 로고
    • Fbk-irst: a multiphase kernel based approach for drug-drug interaction detection and classification that exploits linguistic information
    • Atlanta, Georgia
    • Chowdhury,M.F.M. and Lavelli,A. (2013) Fbk-irst: a multiphase kernel based approach for drug-drug interaction detection and classification that exploits linguistic information. In: 7th International Workshop on Semantic Evaluation (SemEval 2013), Atlanta, Georgia, pp. 351–355.
    • (2013) 7th International Workshop on Semantic Evaluation (SemEval 2013) , pp. 351-355
    • Chowdhury, M.F.M.1    Lavelli, A.2
  • 13
  • 17
    • 84959862537 scopus 로고    scopus 로고
    • Relation classification via convolutional deep neural network
    • Technical Papers, August 2014. Dublin City University and Association for Computational Linguistics, Dublin, Ireland
    • Zeng,D., Liu,K., Lai,S. et al. (2014) Relation classification via convolutional deep neural network. In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), Technical Papers, August 2014. Dublin City University and Association for Computational Linguistics, Dublin, Ireland, pp. 2335–2344.
    • (2014) Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014) , pp. 2335-2344
    • Zeng, D.1    Liu, K.2    Lai, S.3
  • 18
    • 85006003503 scopus 로고    scopus 로고
    • Semeval-2010 task 8: multi-way classification of semantic relations between pairs of nominals
    • Association for Computational Linguistics, Stroudsburg, PA
    • Hendrickx,I., Nam Kim,S., Kozareva,Z. et al. (2010) Semeval-2010 task 8: multi-way classification of semantic relations between pairs of nominals. In: Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval’10, Association for Computational Linguistics, Stroudsburg, PA, pp. 33–38.
    • (2010) Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval’10 , pp. 33-38
    • Hendrickx, I.1    Nam Kim, S.2    Kozareva, Z.3
  • 23
    • 84949672394 scopus 로고    scopus 로고
    • Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
    • Wang,P., Xu,B., Xu,J. et al. (2016) Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification. Neurocomputing, 174, 806–814.
    • (2016) Neurocomputing , vol.174 , pp. 806-814
    • Wang, P.1    Xu, B.2    Xu, J.3
  • 25
    • 79959655291 scopus 로고    scopus 로고
    • Using a shallow linguistic kernel for drug–drug interaction extraction
    • Segura-Bedmar,I., Martinez,P. and Pablo-Sanchez,C.D. (2011b) Using a shallow linguistic kernel for drug–drug interaction extraction. J. Biomed. Informatics, 44, 789–804.
    • (2011) J. Biomed. Informatics , vol.44 , pp. 789-804
    • Segura-Bedmar, I.1    Martinez, P.2    Pablo-Sanchez, C.D.3
  • 26
    • 44649108373 scopus 로고    scopus 로고
    • Comparative analysis of five protein-protein interaction corpora
    • (Suppl 3)
    • Pyysalo,S., Airola,A., Heimonen,J. et al. (2008) Comparative analysis of five protein-protein interaction corpora. BMC Bioinformatics, 9(Suppl 3), S6.
    • (2008) BMC Bioinformatics , vol.9 , pp. S6
    • Pyysalo, S.1    Airola, A.2    Heimonen, J.3
  • 27
    • 84902100258 scopus 로고    scopus 로고
    • Representations of words and phrases and their compositionality
    • CoRR, abs 1310.4546
    • Mikolov,T., Sutskever,I., Chen,K. et al. (2013) Representations of words and phrases and their compositionality. CoRR, abs/ 1310.4546.
    • (2013)
    • Mikolov, T.1    Sutskever, I.2    Chen, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.