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Fig. 3 | Biomarker Research

Fig. 3

From: A radiomics-based model on non-contrast CT for predicting cirrhosis: make the most of image data

Fig. 3

Selections of radiomic features using the least absolute shrinkage and selection operator (LASSO) regression. a Optimal λ value was determined by the LASSO model using 10-fold cross-validation via minimum criteria. The binomial deviance curves were plotted versus log(λ). Dotted vertical lines were drawn at the optimal values by using the minimum criteria and the 1 standard error of the minimum criteria (the 1 – standard error criteria). The optimal λ value of 0.0383 was chosen. b LASSO coefficient profiles of the 85 selected features is presented

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