Article

ADVISE: A Machine Learning Framework for Early Recognition of a Surrogate Marker for Ventilator-Associated Pneumonia Using Routinely Collected Critical Care Data

2026-06-24

Abstract excerpt

<h4>Background</h4> Ventilator-associated pneumonia (VAP) is the most frequent nosocomial infection in critical care, affecting 20-36% of mechanically ventilated patients. Early prediction is hampered by the absence of a reliable, objective diagnostic standard. We developed ADVISE (Automated Dudley Ventilation Infection Series Evaluation), a machine learning model to predict physiological deterioration consistent...

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Literature Corpus work: c7427125-57c8-585a-ab5d-1424d6ce092e
DOI: 10.64898/2026.06.15.26355691

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