Figure 4 | Scientific Reports

Figure 4

From: Predicting bleeding risk in a Chinese immune thrombocytopenia (ITP) population: development and assessment of a new predictive nomogram

Figure 4

ROC curves of bleeding nomogram in the training cohort (A) and validation cohort (B). Notes The y-axis represents true positive rate and x-axis shows false positive rate. The area between dotted line and the curve is AUC, and the larger of AUC (closed to one), is the higher of model’s accuracy. Then, the accuracy of bleeding risk model shows great based on AUC.

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