Using an Ontology to Derive a Sharable and Interoperable Relational Data Model for Heterogeneous Healthcare Data and Various Applications

Background  A large volume of heavily fragmented data is generated daily in different healthcare contexts and is stored using various structures with different semantics. This fragmentation and heterogeneity make secondary use of data a challenge. Data integration approaches that derive a common dat...

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Detalles Bibliográficos
Autores principales: Khnaisser, Christina, Lavoie, Luc, Fraikin, Benoit, Barton, Adrien, Dussault, Samuel, Burgun, Anita, Ethier, Jean-François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788910/
https://www.ncbi.nlm.nih.gov/pubmed/35709746
http://dx.doi.org/10.1055/a-1877-9498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788910/
https://www.ncbi.nlm.nih.gov/pubmed/35709746
http://dx.doi.org/10.1055/a-1877-9498

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