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

• Main Authors: Bolourani, Siavash (Author), Brenner, Max (Author), Wang, Ping (Author), McGinn, Thomas (Author), Hirsch, Jamie S (Author), Barnaby, Douglas (Author), Zanos, Theodoros P (Author)
• Format: Book
• Published: JMIR Publications, 2021-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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,...