186 citations · 261 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Cross-lingual Data Transformation and Combination for Text Classification
Jun Jiang, Shumao Pang, Xia Zhao +4
Text classification is a fundamental task for text data mining. In order to train a generalizable model, a large volume of text must be collected. To address data insufficiency, cr…
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model
Sijia Liu, Yanshan Wang, Andrew Wen +6
Background: Widespread adoption of electronic health records (EHRs) has enabled secondary use of EHR data for clinical research and healthcare delivery. Natural language processing…