A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation

BACKGROUND: Predicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce morbidity and mortality by appropriately monitoring and treating the patients at greatest risk for deterioration. Given the complexity of COVID-19...

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Detalles Bibliográficos
Autores principales: Bolourani, Siavash, Brenner, Max, Wang, Ping, McGinn, Thomas, Hirsch, Jamie S, Barnaby, Douglas, Zanos, Theodoros P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879728/
https://www.ncbi.nlm.nih.gov/pubmed/33476281
http://dx.doi.org/10.2196/24246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879728/
https://www.ncbi.nlm.nih.gov/pubmed/33476281
http://dx.doi.org/10.2196/24246

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