Fig 3.

A machine learning model based on nasal microbiota as the basis for the diagnosis of sepsis. (A): Linear discriminant analysis Effect Size (LEfSe) based on the nasal microbiota data between the septic and non-septic patients. (B): A machine learning model using the random forest method based on the nasal microbiota data with an AUC of 89.08 (95% CI: 86.13−92.04). (C): An AUC of 84.79 (95% CI: 71.25−98.33) which was yielded using the nasal microbiota classifier for the diagnosis of sepsis.