The objective of this investigation was to predict mortality using regression and machine learning techniques using biomarkers linked to ARDS pathophysiology, including matrix metalloproteinase-3 (MMP-3) and club cell-secretory protein-16 (CC16), and general inflammatory biomarkers. Here, MMP3 is linked to acute respiratory distress syndrome.