In this context, ML models, including random forest (RF) and naïve Bayes (NB), have been applied to identify patients from the early to peak phase of sepsis using a combination of multiple biomarkers (including PCT) and electronic medical record data (EMR; including pulse, temperature, leukocyte count, etc.). The gene discussed is CALCA; the disease is Sepsis.