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Table 3 Predictive performance of training cohort and validation cohort

From: A nomogram for predicting the readmission within 6 months after treatment in patients with acute coronary syndrome

 

AUC (95%CI)

Accuracy (95%CI)

Specificity (95%CI)

Sensitivity (95%CI)

Cut off

Training cohort

0.788 (0.735–0.878)

0.805 (0.760–0.845)

0.840 (0.798–0.883)

0.639 (0.519–0.760)

0.195

Validation cohort

0.775 (0.686–0.865)

0.685 (0.603–0.758)

0.701 (0.621–0.780)

0.591 (0.385–0.796)

0.195

 C-index

     

Internal validation (with 1000 bootstrap samples per model)

0.758

 
  1. AUC: area under the curve; CI: confidence interval