Fig. 10From: Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyteDCA for predicting risk stratifications (low-risk vs. intermediate- and high-risk) of PCa using XGBoost, the clinic nomogram, and the clinic-ML nomograms in the training (A) and test set (B)Back to article page