REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.


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:
25 May 2022
Historique:
entrez: 25 5 2022
pubmed: 26 5 2022
medline: 27 5 2022
Statut: ppublish

Résumé

To enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform. It enables establishing relevant bridges between different knowledge sources (structured vocabularies, thesaurus, ontologies) expressed in the semantic web standard languages (i.e. SKOS, OWL, RDF). This poster presents the strategy applied in K-Ware to hide the different aspects of linking literals with medical entities encoded in these knowledge sources to fetch some publications abstracts from Pubmed.

Identifiants

pubmed: 35612113
pii: SHTI220491
doi: 10.3233/SHTI220491
doi:

Types de publication

Journal Article

Langues

eng

Pagination

419-420

Auteurs

Bruno Thiao Layel (B)

BPH Center - INSERM U1219, Team AHeaD, Univ. Bordeaux, Bordeaux, France.
LaBRI - CNRS UMR5800, Team BKB, Univ. Bordeaux, Talence, France.

Vianney Jouhet (V)

BPH Center - INSERM U1219, Team AHeaD, Univ. Bordeaux, Bordeaux, France.
CHU de Bordeaux, Pôle de santé publique, SIM, unit IAM, Bordeaux, France.

Guillaume Blin (G)

LaBRI - CNRS UMR5800, Team BKB, Univ. Bordeaux, Talence, France.

Gayo Diallo (G)

BPH Center - INSERM U1219, Team AHeaD, Univ. Bordeaux, Bordeaux, France.
LaBRI - CNRS UMR5800, Team BKB, Univ. Bordeaux, Talence, France.

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Classifications MeSH