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Area under the curve (AUC) plotted along the x-axis for the three classifiers (i.e., Ada Boost, Elastic Net and Random Forest) considered in the study for predicting the need for ICU (A), need for intubation (B) and mortality (C). Of the three classifiers, Ada Boost shows the best performance for predicting the need for intubation and mortality with an AUC of 0.72 and 0.71, respectively. It has similar performance with ElasticNet in predicting ICU with an AUC of 0.61.
