Validated tool for early prediction of intensive care unit admission in COVID-19 patients

Figure 8 The calibration and discrimination of model random forest, logistic regression and A in external validation dataset. A, C and E: The graph represents the relationship between observed (data markers represent the mean and the error bars represent the 95% confidence interval) and predicted risk of intensive care unit (ICU) admission using the models (orange line); B, D and F: The discrimination potentials of the random forest (RF), logistic regression (LR) and model A models. The values of the discrimination slope were 0.281, 0.246 and 0.143, respectively.