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

Information Seeking, Information Needs (465) Information Retrieval (287)

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 (3) Tweetations (5) Metrics

Clément R Massonnaud   1, 2 , MPH ;   Gaétan Kerdelhué   1, 2 , MSc ;   Julien Grosjean   1, 2 , PhD ;   Romain Lelong   1, 2 , PhD ;   Nicolas Griffon   1, 2 , PhD ;   Stefan J Darmoni   1, 2 , MD, PhD

1 Department of Biomedical Informatics, Rouen University Hospital, Rouen, France

2 Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé, U1142, INSERM, Sorbonne Université, Paris, France

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