Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients

Table 4 Parameters include area under curve (AUC) and C-index to evaluate the accuracy and discrimination of binary and quartile categorized nomogram models

Nomogram models\Parameters to evaluate the nomograms	Binary		Quartile
Nomogram models\Parameters to evaluate the nomograms	Training set (N = 120)	Testing set (N = 30)	Training set (N = 120)	Testing set (N = 30)
AUC	0.826	0.737	0.870	0.592
C-index (95% CI)	0.903 (0.799–1.000)	0.785 (0.700–0.870)	0.854 (0.746–0.962)	0.769 (0.703–0.835)

ISSN: 1479-5876