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Volumn 3, Issue , 2015, Pages 2460-2467

Extracting adverse drug reactions from social media

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; PHARMACODYNAMICS;

EID: 84959904371     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (29)
  • 1
    • 77955287813 scopus 로고    scopus 로고
    • An overview of metamap: Historical perspective and recent advances
    • Aronson, A. R., and Lang, F.-M. 2010. An overview of metamap: historical perspective and recent advances. J Am Med Inform Assoc 17(3):229-236.
    • (2010) J Am Med Inform Assoc , vol.17 , Issue.3 , pp. 229-236
    • Aronson, A.R.1    Lang, F.-M.2
  • 2
    • 85076750421 scopus 로고    scopus 로고
    • Medical entity recognition: A comparison of semantic and statistical methods
    • Ben Abacha, A., and Zweigenbaum, R 2011. Medical entity recognition: A comparison of semantic and statistical methods. In BioNLP '11, number 11, 56-64.
    • (2011) BioNLP '11 , Issue.11 , pp. 56-64
    • Ben Abacha, A.1    Zweigenbaum, R.2
  • 5
    • 0345863927 scopus 로고    scopus 로고
    • The Unified Medical Language System (UMLS): Integrating biomedical terminology
    • Bodenreider, O. 2004. The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic acids research 32(Database issue):D267-70.
    • (2004) Nucleic Acids Research , vol.32 , Issue.DATABASE ISSUE , pp. D267-D270
    • Bodenreider, O.1
  • 7
    • 77954595235 scopus 로고    scopus 로고
    • Graph-based concept identification and disambiguation for enterprise search
    • ACM Press
    • Brauer, F.; Huber, M.; Hackenbroich, G.; Leser, U.; Naumann, F.; and Barczynski, W. M. 2010. Graph-based concept identification and disambiguation for enterprise search. In WWW '10, 171. ACM Press.
    • (2010) WWW '10 , pp. 171
    • Brauer, F.1    Huber, M.2    Hackenbroich, G.3    Leser, U.4    Naumann, F.5    Barczynski, W.M.6
  • 8
    • 43749110484 scopus 로고    scopus 로고
    • Extraction of semantic biomedical relations from text using conditional random fields
    • Bundschus, M.; Dejori, M.; Stetter, M.; Tresp, V.; and Kriegel, H.-P. 2008. Extraction of semantic biomedical relations from text using conditional random fields. BMC bioinformatics 9.
    • (2008) BMC Bioinformatics , vol.9
    • Bundschus, M.1    Dejori, M.2    Stetter, M.3    Tresp, V.4    Kriegel, H.-P.5
  • 9
    • 74549145651 scopus 로고    scopus 로고
    • Probabilistic models for topic learning from images and captions in online biomedical literatures
    • Chen, X.; Lu, C; An, Y; and Achananuparp, P. 2009. Probabilistic models for topic learning from images and captions in online biomedical literatures. In CIKM '09, 495.
    • (2009) CIKM '09 , pp. 495
    • Chen, X.1    Lu, C.2    An, Y.3    Achananuparp, P.4
  • 10
    • 79955856018 scopus 로고    scopus 로고
    • Disease mention recognition with specific features
    • Chowdhury, M. F. M., and Lavelli, A. 2010. Disease mention recognition with specific features. In BioNLP '10.
    • (2010) BioNLP '10
    • Chowdhury, M.F.M.1    Lavelli, A.2
  • 16
    • 85146417759 scopus 로고    scopus 로고
    • Accurate unlexicalized parsing
    • ACL
    • Klein, D., and Manning, C. D. 2003. Accurate unlexicalized parsing. In ACL '03, volume 1, 423-430. ACL.
    • (2003) ACL '03 , vol.1 , pp. 423-430
    • Klein, D.1    Manning, C.D.2
  • 18
    • 40549140499 scopus 로고    scopus 로고
    • BANNER: An executable survey of advances in biomedical named entity recognition
    • Leaman, R., and Gonzalez, G. 2008. BANNER: an executable survey of advances in biomedical named entity recognition. In Pacific Symposium on Biocomputing, volume 663, 652-63.
    • (2008) Pacific Symposium on Biocomputing , vol.663 , pp. 652-663
    • Leaman, R.1    Gonzalez, G.2
  • 19
    • 84902548120 scopus 로고    scopus 로고
    • Towards Internet-age pharmacovigilance: Extracting adverse drug reactions from user posts to health-related social networks
    • Leaman, R.; Wojtulewicz, L.; Sullivan, R.; Skariah, A.; Yang, J.; and Gonzalez, G. 2010. Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts to Health-Related Social Networks. In BioNLP '10, 117-125.
    • (2010) BioNLP '10 , pp. 117-125
    • Leaman, R.1    Wojtulewicz, L.2    Sullivan, R.3    Skariah, A.4    Yang, J.5    Gonzalez, G.6
  • 20
    • 85037338954 scopus 로고    scopus 로고
    • Generating typed dependency parses from phrase structure parses
    • Marneffe, M.-c. D.; Maccartney, B.; and Manning, C. D. 2006. Generating Typed Dependency Parses from Phrase Structure Parses. In LREC-06, 449-454.
    • (2006) LREC-06 , pp. 449-454
    • Marneffe, M.-C.D.1    Maccartney, B.2    Manning, C.D.3
  • 25
    • 80053392186 scopus 로고    scopus 로고
    • Labeled LDA : A supervised topic model for credit attribution in multi-labeled corpora
    • Ramage, D.; Hall, D.; Nallapati, R.; and Manning, C. D. 2009. Labeled LDA : A supervised topic model for credit attribution in multi-labeled corpora. In EMNLP '09.
    • (2009) EMNLP '09
    • Ramage, D.1    Hall, D.2    Nallapati, R.3    Manning, C.D.4
  • 29
    • 33749577286 scopus 로고    scopus 로고
    • MaxMatcher: Biological concept extraction using approximate dictionary lookup
    • Zhou, X.; Zhang, X.; and Hu, X. 2006. MaxMatcher: Biological concept extraction using approximate dictionary lookup. PRICAI 2006: Trends in Artificial Intelligence 4099:1145-1149.
    • (2006) PRICAI 2006: Trends in Artificial Intelligence , vol.4099 , pp. 1145-1149
    • Zhou, X.1    Zhang, X.2    Hu, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.