Original paper
Extracting hypertrophic cardiomyopathy features from cardiac magnetic resonance reports by natural language processing
Abstract
Objective Determine if information regarding hypertrophic cardiomyopathy (HCM) can be accurately retrieved from cardiac magnetic resonance (CMR) reports using natural language processing (NLP). Background CMR imaging is used for diagnosis and risk stratification of HCM. Manual annotation of information from CMR is time-consuming. NLP is an artificial intelligence method for automating extraction of information from narrative text. Methods We...
Paper Details
Title
Extracting hypertrophic cardiomyopathy features from cardiac magnetic resonance reports by natural language processing
Published Date
Nov 1, 2020
Journal
Volume
41
Issue
Supplement_2
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Notes
History