Additional file 2 of CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS

Additional file 2: Figure S1. Radiomics feature selection using LASSO logistic regression model. (a) The hyper parameter (λ) was selected via ten-fold cross-validation based on minimum criteria. Log (λ) is plotted on the x-axis, and binomial deviance is plotted on the y-axis. The dotted vertical lines indicate optimal values determined using the minimum criteria and one standard error of the minimum criteria (1-SE). log (λ)=-6.71. (b) LASSO coefficient profiles of the radiomics features. Coefficient profiles are plotted against log (λ). The optimal 8 non-zero coefficients were generated at the value selected using ten-fold cross-validation.