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Fig. 2 | BMC Infectious Diseases

Fig. 2

From: Development and validation of a simple-to-use nomogram to predict the deterioration and survival of patients with COVID-19

Fig. 2

Validation of the discrimination power of the nomogram in the validation and total cohorts. a-b ROC curve analysis of the nomogram in the validation and the total cohorts (AUC, 0.979 and 0.954, respectively); c-d Calibration plot of the nomogram in the validation and the total cohorts; e-f DCA analysis of the nomogram in the validation and the total cohorts. The y-axis represents the net benefit, the x-axis represents the threshold probability. The red line represents the nomogram, and gray and black lines represent the deteriorated patients and patients without deterioration, respectively. Abbreviations: ROC, receiver operating characteristic; AUC, area under the curve; DCA, decision curve analysis

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