BCHE and Sepsis: While the authors were able to determine features including neutrophils %, D-Dimer, neutrophils, eosinophils %, lymphocytes %, albumin, WBC, direct bilirubin, potassium, calcium and cholinesterase among others to be of importance in the predictive model of sepsis events, the authors also reported an ROC AUC of 0.91, indicating the good predictive ability of the established ML-based model for sepsis patients in Chinese hospitals [157].