This paper is in the following e-collection/theme issue:

Ontologies, Classifications, and Coding (77) Electronic Health Records (353)

Published on in Vol 7, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11487, first published .
SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets

SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets

SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets

Authors of this article:

Ling Chu 1 Author Orcid Image ;   Vaishnavi Kannan 1 Author Orcid Image ;   Mujeeb A Basit 1 Author Orcid Image ;   Diane J Schaeflein 1 Author Orcid Image ;   Adolfo R Ortuzar 1 Author Orcid Image ;   Jimmie F Glorioso 1 Author Orcid Image ;   Joel R Buchanan 2 Author Orcid Image ;   Duwayne L Willett 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

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  2. Chandra A, Philips S, Pandey A, Basit M, Kannan V, Sara E, Das S, Lee S, Haley B, Willett D, Zaha V. Electronic Health Records-Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study (Preprint). JMIR Cardio 2020 View