Deep SNOMED CT Enabled Large Clinical Database About COVID-19.

Gaudet-Blavignac, Christophe; Ehrsam, Julien; Turbe, Hugues; Keszthelyi, Daniel; Zaghir, Jamil; Lovis, Christian

Gaudet-Blavignac, Christophe; Ehrsam, Julien; Turbe, Hugues; Keszthelyi, Daniel; Zaghir, Jamil; Lovis, Christian.

Afiliação

Gaudet-Blavignac C; Division of Medical Information Sciences, University Hospitals of Geneva.
Ehrsam J; Department of Radiology and Medical Informatics, University of Geneva.
Turbe H; Division of Medical Information Sciences, University Hospitals of Geneva.
Keszthelyi D; Department of Radiology and Medical Informatics, University of Geneva.
Zaghir J; Division of Medical Information Sciences, University Hospitals of Geneva.
Lovis C; Department of Radiology and Medical Informatics, University of Geneva.

Stud Health Technol Inform ; 294: 317-321, 2022 May 25.

Article em En | MEDLINE | ID: mdl-35612084

Assuntos

COVID-19; Systematized Nomenclature of Medicine; Bases de Dados Factuais; Humanos; Pandemias; Semântica

Palavras-chave

COVID-19; SNOMED CT; Semantic Interoperability

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Systematized Nomenclature of Medicine / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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