Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome
Summary of Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome (Meza-Fuentes et al.) Abstract Summary: Meza-Fuentes et al. utilized advanced machine learning methodologies to categorize Acute Respiratory Distress Syndrome (ARDS) into two distinct physiological subphenotypes: Efficient and Restrictive. By analyzing ventilatory mechanics and gas exchange parameters collected within the […]
