Fig. 4From: A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinomaThe time‐dependent ROC curve, and overall survival based on the prognostic classifier in the training set and validation set. a In the training set, the time-dependent ROC curve analysis showed the area under the curve (AUC) for OS at 1-, 2-, 3- and 5-year was 0.817, 0.817, 0.839 and 0.787, respectively, b high-risk score significantly predicted poor OS (log‐rank test p = 0.016). c In the validation set, the AUC for OS at 1-, 2-, 3- and 5-year was 0.714, 0.691, 0.619 and 0.603, respectively, d high risk score significantly predicted poor OS (log‐rank test p = 0.028)Back to article page