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Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches
J Med Internet Res 2017;19(10):e342
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Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study
Rastegar et al [27] implemented a binary classifier to identify adverse drug reactions in tweets. Sharif et al [28] proposed a sentiment classification framework to detect adverse drug reactions in medical blogs and forums. Recently, Karimi et al [29] provided a corpus of 1321 medical forum posts on patient-reported adverse drug events, which allows researchers to develop and evaluate pharmacovigilance systems.
JMIR Res Protoc 2016;5(2):e121
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