Skip to main content
Fig. 6 | Journal of Translational Medicine

Fig. 6

From: A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma

Fig. 6

Prognostic nomogram for PFS at 1-, 3- and 5-year and the calibration curves in both cohorts. a The nomogram was developed in the training cohort with the risk score level, Figo stage, and therapy outcome incorporated. Depending on the value which is located on the 3 variable axes for each patient, a score will be assigned by drawing a line from the value on each variable axis up to the “points” scale. By summing all of the scores and locating it on the “total points” scale, we were easily able to draw a vertical line down to the PFS probability axis to determine the likelihood of 1-, 3- and 5- year PFS. The calibration curves for predicting PFS at each time point in the b training set and c validations set. Nomogram-predicted PFS is plotted on the x-axis; actual PFS is plotted on the y-axis

Back to article page