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- W2966852993 abstract "Detection of adverse drug reactions in postapproval periods is a crucial challenge for pharmacology. Social media and electronic clinical reports are becoming increasingly popular as a source for obtaining health related information. In this work, we focus on extraction information of adverse drug reactions from various sources of biomedical textbased information, including biomedical literature and social media. We formulate the problem as a binary classification task and compare the performance of four state-of-the-art attention-based neural networks in terms of the F-measure. We show the effectiveness of these methods on four different benchmarks." @default.
- W2966852993 created "2019-08-13" @default.
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- W2966852993 date "2019-01-01" @default.
- W2966852993 modified "2023-10-18" @default.
- W2966852993 title "Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks" @default.
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- W2966852993 doi "https://doi.org/10.18653/v1/p19-2058" @default.
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