Figure 1.

The clinical variables were screened using the least absolute shrinkage and selection operator (LASSO) Cox regression model. (A) The selection of the optimal parameters in the LASSO model used a cross-validation method based on the minimum criterion. The partial likelihood deviation curves were plotted in accordance with log (lambda). A dashed vertical line was drawn at the optimal value using the minimum criterion and 1-SE criterion of the minimum criterion. (B) LASSO coefficient profiles of the nine features. Generating a coefficient profile based on the log (lambda) sequence. Cross validation was performed to obtain vertical lines over the selected values, where the optimal lambda yields the characteristic of five non-zero coefficients.