A similar approach has also been used for the differential diagnosis of viral and bacterial meningitis, in which multiple logistic regression (MLR), random forest (RF), and naïve Bayes (NB) algorithms were applied to variables including cerebrospinal fluid (CSF) neutrophil count, CSF lymphocyte count, neutrophil-to-lymphocyte ratio (NLR), blood albumin, blood C-reactive protein (CRP), glucose, blood soluble urokinase-type plasminogen activator receptor (suPAR), and CSF lymphocytes-to-blood CRP ratio (LCR) as predictors. This evidence concerns the gene CRP and bacterial meningitis.