Fig 2From: Predicting lung cancer survival prognosis based on the conditional survival bayesian networkFeature selection using the LASSO Cox regression model. a LASSO coefficient profiles of the 22 predictors in the training cohort. b Cross-validation to select the optimal regularize parameter \(\uplambda\) based on the error within one standard error range of the minimum, 12 predictors selected using LASSO Cox regression analysisBack to article page