Table 2 Performance of the predictive models in the test cohort.

From: Study on the prognosis predictive model of COVID-19 patients based on CT radiomics

 

Radiomics

Clinical

Combined

AUC [95% CI]

0.843 [0.731–0.922]

0.813 [0.696–0.900]

0.865 [0.757–0.938]

Best cut-off value

0.22

0.39

0.50

Sensitivity (%)

97.52

73.91

78.26

Specificity (%)

65.85

85.37

87.80

Negative predictive value (%)

98.45

85.37

87.80

Positive predictive value (%)

62.16

73.91

78.26

True positive rate (%)

99.12

73.91

78.26

False positive rate (%)

34.15

14.63

12.20

True negative rate (%)

65.85

85.37

87.80

False negative rate (%)

1.55

26.09

21.74

False discovery rate (%)

37.83

26.09

21.74

Accuracy (%)

78.13

81.25

84.38

Precision (%)

62.16

73.91

78.26

Youden Index J

0.6585

0.5928

0.6607

Recall

0.98

0.73

0.78

P-value

 < 0.001

0.001

 < 0.0001

  1. P < 0.05 indicates that it is statistically significant.
  2. CI confidence interval; AUC area under the curve.
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