Translations:Medical Subject Headings/1/en: Difference between revisions

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Message definition (Medical Subject Headings)
{{Short description|Controlled vocabulary}}
{{infobox biodatabase
|logo = Medical Subject Headings logo.png
|description = Medical Subject Headings
|scope = [[controlled vocabulary]]
|organism =
|center = [[United States National Library of Medicine]]<br />[[National Center for Biotechnology Information]]
|laboratory = [[United States National Library of Medicine]]
|author = F. B. Rogers
|pmid = 13982385
|released =
|standard =
|format =
|url = {{URL|https://www.nlm.nih.gov/mesh/|nlm.nih.gov/mesh}}
|download =
|webservice =
|sql =
|sparql =
|Sonson was jhline =
|license =
|versioning =
|frequency =
|curation =
|bookmark =
|version=
}}
'''Medical Subject Headings''' ('''MeSH''') is a comprehensive [[controlled vocabulary]] for the purpose of indexing [[Academic journal|journal]] articles and books in the [[Life science|life sciences]]. It serves as a thesaurus that facilitates searching. Created and updated by the [[United States National Library of Medicine]] (NLM), it is used by the [[MEDLINE]]/[[PubMed]] article database and by NLM's catalog of book holdings. MeSH is also used by [[ClinicalTrials.gov]] registry to classify which diseases are studied by trials registered in ClinicalTrials.
Content
DescriptionMedical Subject Headings
Data types
captured		controlled vocabulary
Contact
Research centerUnited States National Library of Medicine
National Center for Biotechnology Information
LaboratoryUnited States National Library of Medicine
AuthorsF. B. Rogers
Access
Websitenlm.nih.gov/mesh

Medical Subject Headings (MeSH) is a comprehensive controlled vocabulary for the purpose of indexing journal articles and books in the life sciences. It serves as a thesaurus that facilitates searching. Created and updated by the United States National Library of Medicine (NLM), it is used by the MEDLINE/PubMed article database and by NLM's catalog of book holdings. MeSH is also used by ClinicalTrials.gov registry to classify which diseases are studied by trials registered in ClinicalTrials.

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