Machine learning to identify potential biomarkers for sarcopenia in liver cirrhosis

Figure 2 Screening of candidate diagnostic biomarkers in sarcopenic cirrhotic patients. A: Coefficient profile plot of the Least Absolute Shrinkage and Selection Operator model for cirrhotic patients with sarcopenia showed the final parameter selection l (lambda); B: Top-10 biomarkers based on their discriminant ability in the Support Vector Machine-Recursive Feature Elimination algorithm; C: Top-10 biomarkers selected by using the random forest algorithm; D: The Venn diagram for four candidate metabolic biomarkers in sarcopenic cirrhotic patients by intersecting the results of three algorithms. LASSO: Least Absolute Shrinkage and Selection Operator; RF: Random Forest; SVM-RFE: Support Vector Machine-Recursive Feature Elimination.