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

Information Seeking, Information Needs (448) Information Retrieval (271)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12799, first published .
Identification of the Best Semantic Expansion to Query PubMed Through Automatic Performance Assessment of Four Search Strategies on All Medical Subject Heading Descriptors: Comparative Study

Identification of the Best Semantic Expansion to Query PubMed Through Automatic Performance Assessment of Four Search Strategies on All Medical Subject Heading Descriptors: Comparative Study

Identification of the Best Semantic Expansion to Query PubMed Through Automatic Performance Assessment of Four Search Strategies on All Medical Subject Heading Descriptors: Comparative Study

Authors of this article:

Clément R Massonnaud1, 2 Author Orcid Image ;   Gaétan Kerdelhué1, 2 Author Orcid Image ;   Julien Grosjean1, 2 Author Orcid Image ;   Romain Lelong1, 2 Author Orcid Image ;   Nicolas Griffon1, 2 Author Orcid Image ;   Stefan J Darmoni1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (7) Metrics

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  2. Suda-King C, Winch L, Tucker J, Zuehlke A, Hunter C, Simmons J. Representation of Social Determinants of Health terminology in medical subject headings: impact of added terms. Journal of the American Medical Informatics Association 2024 View