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.