Deep Representation Learning-Based Phenotyping of Dynamic Trajectories in Sepsis-Induced Acute Respiratory Failure Patients in Medical Intensive Care Units

Four distinct data-driven phenotypes of sepsis-induced acute respiratory failure patients were identified using a deep representation learning-based approach, revealing heterogeneity in clinical trajectories, comorbidities, and mortality outcomes.