3 citations · 3 across the 3 of their papers we have counts for
4 papers
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model
Kevin Lybarger, Aashka Damani, Martin Gunn +2
Medical imaging is critical to the diagnosis and treatment of numerous medical problems, including many forms of cancer. Medical imaging reports distill the findings and observatio…
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework
Kevin Lybarger, Linzee Mabrey, Matthew Thau +3
Acute respiratory distress syndrome (ARDS) is a life-threatening condition that is often undiagnosed or diagnosed late. ARDS is especially prominent in those infected with COVID-19…
Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework
Kevin Lybarger, Mari Ostendorf, Matthew Thompson +1
Coronavirus disease 2019 (COVID-19) is a global pandemic. Although much has been learned about the novel coronavirus since its emergence, there are many open questions related to t…
Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction
Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen
Social determinants of health (SDOH) affect health outcomes, and knowledge of SDOH can inform clinical decision-making. Automatically extracting SDOH information from clinical text…