Model validation
The random forest algorithm was used to predict the risk prediction model constructed on the training set. The results showed that the AUC of the random forest was 1.000, the AUC of age was 0.587, the AUC of CD117 was 0.718, the AUC of P2X3R was 0.942, the AUC of NGF was 0.798, and the AUC of TrkA was 0.790 (Fig. Precision of Training Set and Precision of Test Set