217 citations · 219 across the 4 of their papers we have counts for
4 papers
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
Sijia Liu, Andrew Wen, Liwei Wang +28
While we pay attention to the latest advances in clinical natural language processing (NLP), we can notice some resistance in the clinical and translational research community to a…
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…
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…