Development of an early warning model for sepsis-associated encephalopathy using LASSO-Boruta-Logistic regression.
The early warning model for SAE, based on mechanical ventilation, PAR, TyG index, number of infectious pathogens, and SOFA score, demonstrates high accuracy and clinical applicability.