3 citations · 7 across the 3 of their papers we have counts for
5 papers
CACER: Clinical Concept Annotations for Cancer Events and Relations
Yujuan Fu, Giridhar Kaushik Ramachandran, Ahmad Halwani +5
Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationsh…
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context
Paul Barry, Sam Henry, Meliha Yetisgen +2
We hypothesize that explicit integration of contextual information into an Multi-task Learning framework would emphasize the significance of context for boosting performance in joi…
Transferability of Neural Network Clinical De-identification Systems
Kahyun Lee, Nicholas J. Dobbins, Bridget McInnes +2
Objective: Neural network de-identification studies have focused on individual datasets. These studies assume the availability of a sufficient amount of human-annotated data to tra…
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…
Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset
Wilson Lau, Thomas H Payne, Ozlem Uzuner +1
Communication of follow-up recommendations when abnormalities are identified on imaging studies is prone to error. In this paper, we present a natural language processing approach…