Area under the curve (AUC), Youden index, sensitivity, and specificity of the machine-learning models and MFRS with the two cutoff points applied

Context in source publication

Context 1

... MFRS-based models were generated with cutoff point six, as recommended by the authors, and 11, the best cutoff point for maximizing the Youden index. The model-related results are shown in table 1 and figure 1. Table 1 shows the metrics for model performance analysis, according to the Youden index, AUC, sensitivity, and specificity, and figure 1 shows the ROC curves of the models generated from the algorithms and MFRS. Figure 2 presents the confusion matrix for the application of the Medication Fall Risk Score. Figure 3 presents the confusion matrix for the application of the Naive Bayes model, which performed better. laxants, chemotherapy drugs, insulin, and ophthalmic medications, identified as risk factors in other studies, are not included. ...