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

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

BackgroundPredicting 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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Bibliographic Details
Main Authors: Bolourani, Siavash, Brenner, Max, Wang, Ping, McGinn, Thomas, Hirsch, Jamie S, Barnaby, Douglas, Zanos, Theodoros P
Format: Article
Language:English
Published: JMIR Publications 2021-02-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2021/2/e24246/

Internet

http://www.jmir.org/2021/2/e24246/

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