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Fig. 5 | BMC Infectious Diseases

Fig. 5

From: A novel CT-based radiomics in the distinction of severity of coronavirus disease 2019 (COVID-19) pneumonia

Fig. 5

a Radiomics nomogram for identifying severity of COVID-19. b calibration curves of the radiomics nomogram in the training set and test cohort. The calibration curves represented calibration of the nomogram on the basis of fitting the predicted probabilities and observed probabilities. The 45° line uncovers the perfect discrimination and the dotted lines reveals the discriminative ability of the nomogram. The nearer the dotted line fits to the ideal line, the better the discriminative accuracy of the developed nomogram. c Decision-curve analysis for the radiomics nomogram. The y-axis and x-axis represent the net benefit and threshold probability, respectively. The horizontal black line indicates the assumption of all severe COVID-19 patients, while the green line indicates the assumption of all non-severe COVID-19 patients

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