Research Article

Development and Validation of a Prediction Model of the Risk of Pneumonia in Patients with SARS-CoV-2 Infection

Figure 4

Comparison of the models in the whole study cohort. (a) Receiver operator characteristic curves of the models are presented to compare their discriminatory accuracy for predicting pneumonia risk. values show the AUC for the pneumonia risk model versus the AUCs for predictors incorporated in the model alone; the predictive ability of the predictors in the model individually and the overall predictive power of the pneumonia risk model are contrasted via IDI. (b) Decision curve analyses comparing the net benefit of the nomogram of the pneumonia risk model versus the other variables incorporated in the nomogram alone are shown. AUC: area under the curve; CI: confidence interval; IDI: integrated discrimination improvement.
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