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Chapter and Conference Paper
An Explainable Approach of Inferring Potential Medication Effects from Social Media Data
Understanding medication effects is an important activity in pharmacovigilance in which patients are the most important contributor. Social media, where users share their personal experiences of medication eff...
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Chapter and Conference Paper
Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model
Pharmacovigilance aims to promote safe use of pharmaceutical products by continuously assessing the safety of marketed medications. Lately, an active area of this endeavor is to use social media such as Twitte...