Machine Learning for Early Barotrauma Detection in ARDS

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This study explores the risk of barotrauma in ARDS patients due to mechanical ventilation, highlighting its impact on outcomes. A retrospective analysis of 250 adult patients utilized Random Forest to assess electronic medical records and ventilator data, identifying driving pressure and P/F ratio as significant predictors. The findings revealed that barotrauma affected 10% of patients, with the model achieving 70% prediction accuracy. These insights support the implementation of early alerts...