Validation of an Internationally Derived Patient Severity Phenotype to Support COVID-19 Analytics from Electronic Health Record Data

INTRODUCTION: The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) is an international collaboration addressing COVID-19 with federated analyses of electronic health record (EHR) data. OBJECTIVE: We sought to develop and validate a computable phenotype for COVID-19 severity. METHODS...

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Detalles Bibliográficos
Autores principales: Klann, Jeffrey G, Weber, Griffin M, Estiri, Hossein, Moal, Bertrand, Avillach, Paul, Hong, Chuan, Castro, Victor, Maulhardt, Thomas, Tan, Amelia L M, Geva, Alon, Beaulieu-Jones, Brett K, Malovini, Alberto, South, Andrew M, Visweswaran, Shyam, Omenn, Gilbert S, Ngiam, Kee Yuan, Mandl, Kenneth D, Boeker, Martin, Olson, Karen L, Mowery, Danielle L, Morris, Michele, Follett, Robert W, Hanauer, David A, Bellazzi, Riccardo, Moore, Jason H, Loh, Ne-Hooi Will, Bell, Douglas S, Wagholikar, Kavishwar B, Chiovato, Luca, Tibollo, Valentina, Rieg, Siegbert, Li, Anthony L L J, Jouhet, Vianney, Schriver, Emily, Samayamuthu, Malarkodi J, Xia, Zongqi, Hutch, Meghan, Luo, Yuan, Kohane, Isaac S, Brat, Gabriel A, Murphy, Shawn N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928835/
https://www.ncbi.nlm.nih.gov/pubmed/33566082
http://dx.doi.org/10.1093/jamia/ocab018

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