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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...

    Keyuan Jiang, Tingyu Chen, Liyuan Huang in Artificial Intelligence in Medicine: Knowl… (2019)

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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...

    Keyuan Jiang, Dingkai Zhang in Machine Learning and Principles and Practi… (2021)