186 citations · 224 across the 4 of their papers we have counts for
4 papers
Development of an Extractive Clinical Question Answering Dataset with Multi-Answer and Multi-Focus Questions
Sungrim Moon, Huan He, Hongfang Liu +1
Background: Extractive question-answering (EQA) is a useful natural language processing (NLP) application for answering patient-specific questions by locating answers in their clin…
Real-World Data Analysis of Implantable Cardioverter Defibrillator (ICD) in Patients with Hypertrophic Cardiomyopathy (HCM)
Sungrim Moon, Andrew Wen, Christopher G. Scott +7
Background: One of the common causes of sudden cardiac death (SCD) in young people is hypertrophic cardiomyopathy (HCM) and the primary prevention of SCD is with an implantable car…
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…
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…