Developing a nomogram for postoperative delirium in elderly patients with hip fractures

Figure 6 Risk model validation. A: The receiver operating characteristic curve shows the discriminatory capacity of the model in the training group, with an area under the curve of 0.833; B: The precision-recall curve presents the model’s precision at different precision-recall rates in the training group; C: The calibration curve presents the relationship between the predicted probability of the model and the actual incidence rate in the training group; D: The decision curve analysis curve indicates that the model has clinical benefits within the risk threshold range of 0%-30% in the training group; E: The receiver operating characteristic curve shows the discriminative ability of the model in the validation group, with an area under the curve of 0.850; F: The precision-recall curve displays the accuracy of the model at different precision-recall rates in the validation group; G: The calibration curve displays the relationship between the predicted probability of the model and the actual occurrence rate in the validation group; H: The decision curve analysis curve indicates that the model has clinical benefits within the 0%-36% risk threshold range in the validation group. TPR: True positive rate; FPR: False positive rate; AUC: Area under the curve; CI: Confidence interval.