4 citations · 6 across the 4 of their papers we have counts for
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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.CL2021
A Conversational Agent System for Dietary Supplements Use
Esha Singh, Anu Bompelli, Ruyuan Wan +3
Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consume…
cs.CL2021★ 4 cited
Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision
Zitao Shen, Yoonkwon Yi, Anusha Bompelli +3
Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle factor changes and interventions. Analyzing electronic health…