Research Paper Volume 13, Issue 5 pp 6957—6981
Identification of a ten-long noncoding RNA signature for predicting the survival and immune status of patients with bladder urothelial carcinoma based on the GEO database: a superior machine learning model
Figure 2. Nomograms to predict 3- or 5-year DSS in the GSE32894 dataset. Instructions: locate each characteristic on the corresponding variable axis and draw a vertical line upwards to the points axis to determine the specific point value. Repeat this process. Sum the total points value and locate it on the total points axis. Draw a vertical line down to the 3- or 5-year DSS to obtain the survival probability for a specific bladder cancer patient. (A), Nomogram for predicting 3- or 5-year DSS in GSE32894 based on the 10-lncRNA signature. (B), Calibration curve for the prediction of 3-year DSS by the nomogram in (A). (C), Calibration curve for the prediction of 5-year DSS by the nomogram in (A). (D), Nomogram for predicting 3- or 5-year DSS in GSE32894 based on the 10-lncRNA signature combined with clinical risk factors. (E), Calibration curve for the prediction of 3-year DSS by the nomogram in (D). (F), Calibration curve for the prediction of 5-year DSS by the nomogram in (D).