Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.

scientific article published on 13 May 2017

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/jamia/XieLZ18
P356DOI10.1093/JAMIA/OCX045
P932PMC publication ID6455898
P698PubMed publication ID28505280

P2093author name stringXiao Liu
Daniel Dajun Zeng
Jiaheng Xie
P2860cites workFDA summary of adverse events on electronic cigarettesQ46571351
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Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis.Q35620025
A broad-coverage natural language processing systemQ36461349
Trends in E-Cigarette Awareness and Perceived Harmfulness in the U.S.Q39150797
Acute impact of active and passive electronic cigarette smoking on serum cotinine and lung functionQ39476327
Electronic Cigarette Use Among Adults: United States, 2014.Q40336058
Effect of an electronic nicotine delivery device (e cigarette) on desire to smoke and withdrawal, user preferences and nicotine delivery: randomised cross-over trial.Q43105728
Contextual correlates of synonymyQ43976276
Interval estimation for Cohen's kappa as a measure of agreementQ44286456
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectsocial mediaQ202833
recurrent neural networkQ1457734
social networking serviceQ3220391
word embeddingQ18395344
P304page(s)72-80
P577publication date2018-01-01
P1433published inJournal of the American Medical Informatics AssociationQ152037
P1476titleMining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation
P478volume25

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cites work (P2860)
Q61800114Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel
Q57133461HARNESSING SOCIAL MEDIA FOR HEALTH INFORMATION MANAGEMENT
Q47109104Using deep learning to improve medication safety: the untapped potential of social media

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