Accuracy of Computable Phenotyping Approaches for SARS-CoV-2 Infection and COVID-19 Hospitalizations from the Electronic Health Record

OBJECTIVE: Real-world data have been critical for rapid-knowledge generation throughout the COVID-19 pandemic. To ensure high-quality results are delivered to guide clinical decision making and the public health response, as well as characterize the response to interventions, it is essential to esta...

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Detalles Bibliográficos
Autores principales: Khera, Rohan, Mortazavi, Bobak J., Sangha, Veer, Warner, Frederick, Young, H. Patrick, Ross, Joseph S., Shah, Nilay D., Theel, Elitza S., Jenkinson, William G., Knepper, Camille, Wang, Karen, Peaper, David, Martinello, Richard A, Brandt, Cynthia A., Lin, Zhenqiu, Ko, Albert I., Krumholz, Harlan M., Pollock, Benjamin D., Schulz, Wade L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132274/
https://www.ncbi.nlm.nih.gov/pubmed/34013299
http://dx.doi.org/10.1101/2021.03.16.21253770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132274/
https://www.ncbi.nlm.nih.gov/pubmed/34013299
http://dx.doi.org/10.1101/2021.03.16.21253770

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