FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model

BACKGROUND: Knowledge graphs (KGs) play a key role to enable explainable artificial intelligence (AI) applications in healthcare. Constructing clinical knowledge graphs (CKGs) against heterogeneous electronic health records (EHRs) has been desired by the research and healthcare AI communities. From...

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Detalles Bibliográficos
Autores principales: Xiao, Guohui, Pfaff, Emily, Prud’hommeaux, Eric, Booth, David, Sharma, Deepak K., Huo, Nan, Yu, Yue, Zong, Nansu, Ruddy, Kathryn J., Chute, Christopher G., Jiang, Guoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561043/
https://www.ncbi.nlm.nih.gov/pubmed/36089199
http://dx.doi.org/10.1016/j.jbi.2022.104201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561043/
https://www.ncbi.nlm.nih.gov/pubmed/36089199
http://dx.doi.org/10.1016/j.jbi.2022.104201

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