Construction and validation of the nomogram model
HCC
REGRESSION
A nomogram model for MVI risk assessment was constructed (Fig. Construction of the nomogram model. A nomogram model to evaluate the risk of MVI occurrence in HCC (The calibration curve was used to assess the accuracy of the nomogram model. The average deviation was discerned to be 0.033 (mean absolute error = 0.033, mean squared error = 0.001), and the predictive probability could better fit the actual probability. There was no significant difference in the Hosmer–Lemeshow goodness-of-fit test (χ2 = 10.367, Validation of the nomogram model. The calibration curve of the logistic regression predictive model in the training cohort (