Development and validation of a predictive nomogram for surgical difficulty
Based on the independent risk factors, a predictive model was established to assess the surgical difficulty of laparoscopic right hemicolectomy (Fig. Predictive model of a surgical difficulty nomogram.Calibration curve of the nomogram model for the training data set that predicts the risk of surgical difficulty. The diagonal lines represent the perfect prediction of an ideal model; the solid line represents the prediction performance of the prediction model, of which a closer fit to the diagonal dotted line represents a better prediction.Calibration curve of the nomogram model for internal validation data set (A) and external validation data set (B) that predicts the risk of surgical difficulty.Receiver operating characteristic curves for training data set and validation data sets in predicting surgical difficulty. AUC, area under the receiver operating characteristic curve.