A Clinically Actionable Risk Score for Ventilator-Associated Pneumonia Using Interpretable Machine Learning
Yeleen Fromage, Ana Catalina Hernandez Padilla, Julien Vaidie, Hamza Sayadi et autres
Background Ventilator-associated pneumonia (VAP) remains the most common ICU-acquired infection, with high morbidity and substantial mortality. Diagnosis often is delayed, reducing the potential benefit of timely treatment. Research Question Can a machine learning-based VAP risk score (VRS) enable dynamic daily risk prediction …
fr, rs, nl, ch, us, Mali, Tunisie (code pays fourni par la source)
1 citation
CHEST Critical Care