Machine learning-based radiomic nomogram from unenhanced computed tomography and clinical data predicts bowel resection in incarcerated inguinal hernia

Figure 3 A nomogram based on Rad-score and clinical indicators for predicting bowel resection risk in patients with incarcerated inguinal hernia. A and B: Heatmaps illustrating the distribution of the 13 selected radiomic features in both cohorts; C and D: Box plots of the most significantly different radiomic features in the training and test cohorts; E: Construction of the radiomic-clinical nomogram; F and G: Calibration curves for the radiomic nomogram in the training and test sets. R: Bowel resection group; NR: Non-bowel resection group.