Machine learning to identify risk factors associated with the development of ventilated hospital-acquired pneumonia and mortality: implications for antibiotic therapy selection

Machine learning to identify risk factors associated with the development of ventilated hospital-acquired pneumonia and mortality: implications for antibiotic therapy selection

BackgroundAmong patients with nosocomial bacterial pneumonia, those who decompensated to requiring mechanical ventilation (vHABP) faced the highest mortality followed by ventilator-associated pneumonia (VABP) and non-ventilated hospital-acquired pneumonia (nvHABP). The objectives of this study were...

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Bibliographic Details
Main Authors: Anthony Sophonsri, Mimi Lou, Pamela Ny, Emi Minejima, Paul Nieberg, Annie Wong-Beringer
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Medicine
Subjects:
pneumonia
critical care
mechanical ventilation
multidrug resistance
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1268488/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1268488/full

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