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Table 5 Performance of nomogram for predicting severe COVID-19

From: Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study

Performance

Training cohort

Validation cohort

AUC (95% CI)

0.929 (0.889–0.969)

0.936 (0.867–1.000)

Accuracy

85.5% (130/152)

89.2%(25/65)

Sensitivity

84.0% (42/50)

90.5%(19/21)

Specificity

86.3% (88/102)

88.6%(39/44)

  1. Note: AUC area under the receiver operating characteristic curve, CI confidence interval
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BMC Medical Imaging

ISSN: 1471-2342

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