Early COVID-19 respiratory risk stratification using machine learning

BACKGROUND: COVID-19 has strained healthcare systems globally. In this and future pandemics, providers with limited critical care experience must distinguish between moderately ill patients and those who will require aggressive care, particularly endotracheal intubation. We sought to develop a machi...

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Detalles Bibliográficos
Autores principales: Douglas, Molly J, Bell, Brian W, Kinney, Adrienne, Pungitore, Sarah A, Toner, Brian P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438026/
https://www.ncbi.nlm.nih.gov/pubmed/36111138
http://dx.doi.org/10.1136/tsaco-2022-000892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438026/
https://www.ncbi.nlm.nih.gov/pubmed/36111138
http://dx.doi.org/10.1136/tsaco-2022-000892

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