most citedDeep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter

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cs.CL2021★ 1 cited

Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter

Yefeng Wang, Yunpeng Zhao, Jiang Bian +1

Objective: The objective of this study is to develop a deep learning pipeline to detect signals on dietary supplement-related adverse events (DS AEs) from Twitter. Material and Met…

cs.CL2020

Drug Repurposing for COVID-19 via Knowledge Graph Completion

Rui Zhang, Dimitar Hristovski, Dalton Schutte +3

Objective: To discover candidate drugs to repurpose for COVID-19 using literature-derived knowledge and knowledge graph completion methods. Methods: We propose a novel, integrative…