Influencing factors and risk prediction model for emergence agitation after general anesthesia for primary liver cancer

Figure 1 Nomogram prediction model. This is a column graph illustrating the integration of five factors influencing emergence agitation (EA) into a risk assessment model for EA following general anesthesia for primary liver cancer. The graph was constructed using data from a sample of 140 patients from the training set. ASA: American Society of Anesthesiologists.

Figure 2 Receiver operating characteristic and calibration curve analysis. A and B: It displays receiver operating characteristic curves plotted to further validate the predictive efficiency of the model. The curves represent both the training and test sets; C and D: The calibration curve illustrates the agreement between the predicted probability and the actual incidence of emergence agitation in both the training and test sets. A and C are training set, B and D are test set. AUC: Area under the curve.