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

Information Seeking, Information Needs (481) Information Retrieval (296)

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 (4) Metrics

Journals

  1. Lauvrak V, Esmail R, Espeland A, Farrah K, Hafstad E, Harboe I, Migliore A, Ohm I, Topfer L. A collaborative pilot on current awareness alerts for disinvestment and horizon scanning. International Journal of Technology Assessment in Health Care 2021;37(1) View
  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;31(11):2595 View
  3. Ronquillo J, South B, Naik P, Singh R, De Jesus M, Watt S, Habtezion A. Informatics and Artificial Intelligence–Guided Assessment of the Regulatory and Translational Research Landscape of First-in-Class Oncology Drugs in the United States, 2018-2022. JCO Clinical Cancer Informatics 2024;(8) View