Development of an early warning model for sepsis-associated encephalopathy using LASSO-Boruta-Logistic regression.
OBJECTIVE This study aimed to develop an early warning model for sepsis-associated encephalopathy (SAE) to facilitate early clinical identification and intervention. METHODS Clinical data from 631 patients diagnosed with sepsis and admitted to Hebei General Hospital between September 2023 and June 2025 were retrospec...