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6% (95% CI 55.2% to 65.8%), accuracy of 65.5% (95% CI 60.7% to 70.0%), area under the receiver operating characteristic curve of 85.5% (95% CI 80.8% to 90.2%) and area under the precision recall curve of 64.4% (95% CI 53.5% to 75.3%). Our ML-based approach can be used to analyse electronic health record data and reliably predict near-term mortality prediction. Using such a model in hospitals could help improve care, thereby better aligning clinical decisions with prognosis in critically ill patients with COVID-19. Our ML-based approach c