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REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.
Thiao Layel, Bruno; Jouhet, Vianney; Blin, Guillaume; Diallo, Gayo.
Afiliación
  • Thiao Layel B; BPH Center - INSERM U1219, Team AHeaD, Univ. Bordeaux, Bordeaux, France.
  • Jouhet V; LaBRI - CNRS UMR5800, Team BKB, Univ. Bordeaux, Talence, France.
  • Blin G; BPH Center - INSERM U1219, Team AHeaD, Univ. Bordeaux, Bordeaux, France.
  • Diallo G; CHU de Bordeaux, Pôle de santé publique, SIM, unit IAM, Bordeaux, France.
Stud Health Technol Inform ; 294: 419-420, 2022 May 25.
Article en En | MEDLINE | ID: mdl-35612113
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Prescripciones de Medicamentos / PubMed / Bases del Conocimiento / Ontologías Biológicas / Web Semántica Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Prescripciones de Medicamentos / PubMed / Bases del Conocimiento / Ontologías Biológicas / Web Semántica Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Países Bajos