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Fig. 2 | BMC Infectious Diseases

Fig. 2

From: A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients

Fig. 2

The receiver operating characteristic (ROC) curve (a) and calibration curve (b) for the established nomogram. OR: odds ratios; AUC: area under the curve; 95% CI: 95% confidence interval. Calibration curve reflects the extent to which the model correctly estimates the absolute probability or agreement between the predicted probability and observed outcomes. The Y-axis represents the actual survival probability. The X-axis represents the predicted survival probability. The black dot at the top represents the prediction probability corresponding to the actual observation, the black dotted line represents the ideal predicted value, and the solid line represents the actual predicted value

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