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Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.

American journal of respiratory and critical care medicine 32551817
Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analys...
Age Factors Area Under Curve Bicarbonates Bilirubin Biomarkers, Tumor Blood Pressure Carbon Dioxide Creatinine Humans Inflammation Intercellular Adhesion Molecule-1 Interleukin-6 Interleukin-8 Latent Class Analysis Leukocyte Count Machine Learning Mortality Oxygen Partial Pressure Phenotype Plasminogen Activator Inhibitor 1 Platelet Count Prognosis Protein C Pulmonary Ventilation Randomized Controlled Trials as Topic Receptors, Tumor Necrosis Factor, Type I Respiratory Distress Syndrome Serum Albumin Tidal Volume Vasoconstrictor Agents Vital Signs
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