Digital Health Multilingual Ontology to Index Teaching Resources.
Controlled
Digital Health
Language
Teaching
Vocabulary
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
31 Aug 2022
31 Aug 2022
Historique:
entrez:
8
9
2022
pubmed:
9
9
2022
medline:
11
9
2022
Statut:
ppublish
Résumé
The aim of this paper is to present the use of Medical Informatics Multilingual Ontology (MIMO) to index digital health resources that are (and will be) included in SaNuRN (project to teach digital health). MIMO currently contains 1,379 concepts and is integrated into HeTOP, which is a cross-lingual multiterminogy server. Existing teaching resources have been reindexed with MIMO concepts and integrated into a dedicated website. A total of 345 resources have been indexed with MIMO concepts and are freely available at https://doccismef.chu-rouen.fr/dc/#env=sanurn. The development of a multilingual MIMO for enhancing the quality and the efficiency of international projects is challenging. A specific semantic search engine has been deployed to give access to digital health teaching resources.
Identifiants
pubmed: 36073449
pii: SHTI220900
doi: 10.3233/SHTI220900
doi:
Types de publication
Journal Article
Langues
eng