This research is unique due to the combination of various machine learning techniques, which systematically identifying three hub genes (CX3CR1, PID1 and PTGDS) as possible biomarkers for diagnosing and predicting outcomes in sepsis and ARDS. The gene discussed is PTGDS; the disease is acute respiratory distress syndrome.