Fig. 2From: Development and validation of a nomogram to predict the risk of sepsis-associated encephalopathy for septic patients in PICU: a multicenter retrospective cohort studyFeature selection using the least absolute shrinkage and selection operator (LASSO) regression in the training cohort. A LASSO coefficient profiles of the 34 features. B Identification of the optimal penalization coefficient (λ) in the LASSO model was performed via tenfold cross-validationBack to article page