Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset

As the COVID-19 pandemic is challenging healthcare systems worldwide, early identification of patients with a high risk of complication is crucial. We present a prognostic model predicting critical state within 28 days following COVID-19 diagnosis trained on data from US electronic health records (I...

Descripción completa

Detalles Bibliográficos
Autores principales: Rinderknecht, Mike D., Klopfenstein, Yannick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292360/
https://www.ncbi.nlm.nih.gov/pubmed/34285316
http://dx.doi.org/10.1038/s41746-021-00482-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292360/
https://www.ncbi.nlm.nih.gov/pubmed/34285316
http://dx.doi.org/10.1038/s41746-021-00482-9

Ejemplares similares