AIMC Topic: Protein C

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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 Oct 1, 2020
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...
Humans Machine Learning Phenotype Interleukin-6 Prognosis Biomarkers, Tumor Latent Class Analysis Inflammation Age Factors Respiratory Distress Syndrome Randomized Controlled Trials as Topic Tidal Volume Blood Pressure Area Under Curve Interleukin-8 Oxygen Intercellular Adhesion Molecule-1 Creatinine Vasoconstrictor Agents Carbon Dioxide Plasminogen Activator Inhibitor 1 Platelet Count Bilirubin Pulmonary Ventilation Vital Signs Serum Albumin Mortality Bicarbonates Leukocyte Count Receptors, Tumor Necrosis Factor, Type I Partial Pressure Protein C
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