Fig. 5
From: Identification of candidate biomarkers correlated with the pathogenesis of breast cancer patients
Construction and evaluation of the diagnostic model. (A) Multivariate Stepwise Logistic regression model. (B) Cluster heatmap of six diagnostic biomarkers in the training cohort. (C) Diagnostic nomogram for quantifying risk assessment of individual. (D) Calibration curve illustrated the calibration of the nomogram in terms of the agreement between the predicted risk of BC and the observed outcomes. (E, F) The decision curve and clinical impact curve evaluated the clinical benefit of the model. (G) ROC analysis of the model for predicting BC risk. (H) Confusion matrix heatmap of the model in the training cohort.
