3.4. Verification of Nomograms
DCI
DCI
The constructed model was double-validated in R Studio software for the training and verification groups, and the ROC curve results showed that the model had an AUC of 0.768 (95% confidence interval (CI), 0.635-0.800, The results of the calibration in the curve analysis of The decision curve analysis (DCA) of the nomograms for the training and verification groups is shown in Figures The threshold probability obtained in the ROC of the test cohort (24.6%) was simultaneously within the threshold probability range of both decision curves in As a result of the verification of the above three perspectives (discrimination, calibration, and clinical decision making), we visualized the nomogram using the interactive nomogram. We randomly selected the fourth and twenty-ninth patients in this study and evaluated them using an interactive nomogram. The fourth patient had a lower probability (22.7%) of developing DCI while receiving treatment, while the twenty-ninth patient had a higher probability (78.5%) (