24 citations · 31 across the 7 of their papers we have counts for
4 papers · 1 filter
Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
Dalton Schutte, Jake Vasilakes, Anu Bompelli +7
OBJECTIVE: Leverage existing biomedical NLP tools and DS domain terminology to produce a novel and comprehensive knowledge graph containing dietary supplement (DS) information for…
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…
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…
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…