Fig. 5
From: An AI-powered patient triage platform for future viral outbreaks using COVID-19 as a disease model
A pairwise comparison of classes by ROC curves in training (A) and test (B) sets; The ROC curves were derived pair-wise for the four risk classes, i.e., SARS-CoV-2-negative subjects (Control) SARS-CoV-2-positive patients who during their hospitalization did not require any external oxygen supply or required only a low flow of oxygen (Class 1), SARS-CoV-2-positive patients who required a high flow of oxygen (Class 2), and SARS-CoV-2-positive patients who needed positive airway pressure (biphasic; BIPAP or continuous; CPAP) or were intubated (Class 3). C The most significant factors in the structure of the Random Forest model developed to predict the risk of intubation due to SARS-CoV-2 infection. Note: Probability 1 (which is included in the most significant factors in the RF) is the output of the metabolomics results of the PLS-DA model showing the probability of healthy (Control) individuals