Machine learning-based identification of biochemical markers to predict hepatic steatosis in patients at high metabolic risk

Figure 2 Perform feature selection using LASSO and recursive feature elimination. A: Characteristic indicators screening based on recursive feature elimination (RFE); B: Characteristic indicators screening based on LASSO; C: Feature importance values following LASSO selection; D: Contribution of each feature to the model's inference outcomes; E: Characteristics of RFE combined with LASSO. ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; HDL-C: High-density lipoprotein cholesterol; LDL-C: Low-density lipoprotein cholesterol; TG: Triglyceride; BMI: Body mass index; A/G: Albumin/globulin; RDW: Red Cell Distribution Width; AUROC: Area under the receiver operating characteristic; SVM: Support Vector Machine; GLO: Globulin.