Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

Research article (Journal of the American Medical Informatics Association, 2016) · cited 211× · AI/ML
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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitte
MLA “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitte.
BibTeX @misc{4ortxyz_deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitte_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitte}, note = {Accessed: 2026-05-24}}
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