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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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Detalhes bibliográficos
Publicado no:medRxiv
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Cold Spring Harbor Laboratory 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8132274/
https://ncbi.nlm.nih.gov/pubmed/34013299
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2021.03.16.21253770
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