Fig. 2From: Lifestyle-based nomogram for identifying the Chaoshan inhabitants of China at high risk of Helicobacter pylori infectionThe ROC curve of the nomogram. (A) The ROC curve of the nomogram in the training cohort is 0.846 (95% CI: 0.817–0.875), The optimal threshold (0.519) occurs when the sensitivity is 0.677 and the specificity is 0.907; (B) the ROC curve of the nomogram in the validation cohort is 0.798 (95% CI: 0.744–0.852). The optimal threshold occurs (0.519) when the sensitivity is 0.674 and the specificity is 0.850. AUC, area under the curve; ROC, receiver operating characteristicBack to article page