Ontologizing health systems data at scale: making translational discovery a reality

Common data models solve many challenges of standardizing electronic health record (EHR) data but are unable to semantically integrate all of the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry ontologies provide computable representations of biological k...

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Detalles Bibliográficos
Autores principales: Callahan, Tiffany J., Stefanski, Adrianne L., Wyrwa, Jordan M., Zeng, Chenjie, Ostropolets, Anna, Banda, Juan M., Baumgartner, William A., Boyce, Richard D., Casiraghi, Elena, Coleman, Ben D., Collins, Janine H., Deakyne Davies, Sara J., Feinstein, James A., Lin, Asiyah Y., Martin, Blake, Matentzoglu, Nicolas A., Meeker, Daniella, Reese, Justin, Sinclair, Jessica, Taneja, Sanya B., Trinkley, Katy E., Vasilevsky, Nicole A., Williams, Andrew E., Zhang, Xingmin A., Denny, Joshua C., Ryan, Patrick B., Hripcsak, George, Bennett, Tellen D., Haendel, Melissa A., Robinson, Peter N., Hunter, Lawrence E., Kahn, Michael G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196319/
https://www.ncbi.nlm.nih.gov/pubmed/37208468
http://dx.doi.org/10.1038/s41746-023-00830-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196319/
https://www.ncbi.nlm.nih.gov/pubmed/37208468
http://dx.doi.org/10.1038/s41746-023-00830-x

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