Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis

Figure 3 The process of feature selection and dimensionality reduction through least absolute shrinkage and selection operator. A-C: Least absolute shrinkage and selection operator regression model cross-verifies the selection process of the penalty parameter Lambda, and selects the radiomic features with non-zero coefficients according to the principle of minimum deviation; D-F: Convergence diagram of radiomic feature coefficients.