186 citations · 224 across the 4 of their papers we have counts for
Showing 2019Show all
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cs.CL2019★ 30 cited
Adapting and evaluating a deep learning language model for clinical why-question answering
Andrew Wen, Mohamed Y. Elwazir, Sungrim Moon +1
Objectives: To adapt and evaluate a deep learning language model for answering why-questions based on patient-specific clinical text. Materials and Methods: Bidirectional encoder r…
cs.IR2019★ 186 cited
Clinical Concept Extraction: a Methodology Review
Sunyang Fu, David Chen, Huan He +10
Background Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinica…