Introduction: Acute hypoxemic respiratory failure (RF) is the hallmark symptom of COVID-19 infection that can lead to escalating oxygenation requirements and critical care utilization. Early identification of patients at risk for respiratory decompensation can facilitate timely resource deployment and mitigate care delays. To facilitate resource alignment with patient needs, a machine learning (ML) model designed […]
24. An Integrated Machine Learning Model to Predict Respiratory Failure for COVID-19 Tested Patients in the Emergency Department: A Silent Prospective Trial
