A three-phase ML-assisted curation creates a Cardiology Interface Terminology (CIT) from SNOMED and EHR data that highlights details in cardiology notes with 74.21% coverage, 98.2% average completeness, and 84.2% average conciseness on test data.
CFC annotator: a cluster-focused combination algorithm for annotating electronic health records by referencing interface terminology
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Curation of a Cardiology Interface Terminology for Highlighting Electronic Health Records using Machine Learning
A three-phase ML-assisted curation creates a Cardiology Interface Terminology (CIT) from SNOMED and EHR data that highlights details in cardiology notes with 74.21% coverage, 98.2% average completeness, and 84.2% average conciseness on test data.