Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis

Since the beginning of the Coronavirus Disease 2019 (COVID-19) pandemic, a focus of research has been to identify risk factors associated with COVID-19-related outcomes, such as testing and diagnosis, and use them to build prediction models. Existing studies have used data from digital surveys or el...

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Detalles Bibliográficos
Autores principales: Clark-Boucher, Dylan, Boss, Jonathan, Salvatore, Maxwell, Smith, Jennifer A., Fritsche, Lars G., Mukherjee, Bhramar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312965/
https://www.ncbi.nlm.nih.gov/pubmed/35877617
http://dx.doi.org/10.1371/journal.pone.0269017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312965/
https://www.ncbi.nlm.nih.gov/pubmed/35877617
http://dx.doi.org/10.1371/journal.pone.0269017

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