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Volumn 2017-August, Issue , 2017, Pages 88-92

Adverse drug extraction in twitter data using convolutional neural network

Author keywords

Adverse drug extraction; Convolutional neural network; Social media

Indexed keywords

CONVOLUTION; EXPERT SYSTEMS; EXTRACTION; NEURAL NETWORKS;

EID: 85039149015     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2017.34     Document Type: Conference Paper
Times cited : (15)

References (27)
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  • 6
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    • The Role of Facebook in Crush the Crave, a Mobile-and Social Media-Based Smoking Cessation Intervention: Qualitative Framework Analysis of Posts
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    • L. L. Struik and N. B. Baskerville, "The Role of Facebook in Crush the Crave, a Mobile-and Social Media-Based Smoking Cessation Intervention: Qualitative Framework Analysis of Posts," Journal of Medical Internet Research, vol. 16, no. 7, p. e170, 7 2014.
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    • Struik, L.L.1    Baskerville, N.B.2
  • 11
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    • Social media mining for toxicovigilance: Automatic monitoring of prescription medication abuse from twitter
    • A. Sarker, K. OConnor, R. Ginn, M. Scotch, K. Smith, D. Malone, and G. Gonzalez, "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter," Drug Safety, vol. 39, no. 3, pp. 231-240, 2016.
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    • Sarker, A.1    Connor, K.O.2    Ginn, R.3    Scotch, M.4    Smith, K.5    Malone, D.6    Gonzalez, G.7
  • 12
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    • Identification of consumer adverse drug reaction messages on social media
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    • Yang, M.1    Wang, X.2    Kiang, M.3
  • 16
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    • Portable automatic text classification for adverse drug reaction detection via multi-corpus training
    • A. Sarker and G. Gonzalez, "Portable automatic text classification for adverse drug reaction detection via multi-corpus training," Journal of Biomedical Informatics, vol. 53, pp. 196-207, 2015.
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    • Sarker, A.1    Gonzalez, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.