Fig. 2From: Development and validation of a prospective study to predict the risk of readmission within 365 days of respiratory failure: based on a random survival forest algorithm combined with COX regression modelingLASSO regression model was used to select feature variables. (A) LASSO coefficient curves for the 11 features. (B) The adjustment parameter (lambda) in the Lasso regression was selected using 10-fold cross-validationBack to article page