Early Prediction of Rapid Oxygenation Loss as a Surrogate Marker for ARDS Using Machine Learning in Mechanically Ventilated ICU Patients
Year: 2025
Type: conference-paper
Abstract: Introduction: Acute Respiratory Distress Syndrome (ARDS) is a critical complication in ICU patients, associated with high morbidity and mortality [ref:1]. Early detection is critical [ref:2], but ARDS is frequently underdiagnosed [ref:3]. We hypothesized that rapid declines [for full text, please go to the a.m. URL]
DOI: 10.3205/25gmds181
Authors: Polzin, Richard, Fritsch, Sebastian, Sharafutdinov, Konstantin, Schuppert, Andreas, Marx, Gernot, Bickenbach, Johannes
Institutions: Universitätsklinikum Aachen, RWTH Aachen University
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7103884601
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