Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.

ABSTRACT: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports by manual review is time-consuming, error-prone and costly. Natural language processing (NLP) is an artificial intelligence method for automated extraction of information from narrative text including text in CMR reports in electronic health records (EHR). Our objective was to assess whether NLP can accurately extract diagnosis of HCM from CMR reports. An NLP system with two tiers was developed for information extraction from narrative text in CMR reports; the first tier extracted information regarding HCM diagnosis while the second extracted categorical and numeric concepts for HCM cl

SUBMITTER: Dewaswala N 

PROVIDER: S-EPMC9580188 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature