Early Prediction of Rapid Oxygenation Loss as a Surrogate Marker for ARDS Using Machine Learning in Mechanically Ventilated ICU Patients

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]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds181
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
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article

Early Prediction of Rapid Oxygenation Loss as a Surrogate Marker for ARDS Using Machine Learning in Mechanically Ventilated ICU Patients

German Medical Science (German Research Foundation)
Respiratory Support and Mechanisms
article

Early Prediction of Rapid Oxygenation Loss as a Surrogate Marker for ARDS Using Machine Learning in Mechanically Ventilated ICU Patients

article en

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]

German Medical Science (German Research Foundation)
Universitätsklinikum Aachen (DE)
Good health and well-being
Openalex Percentile: Top 33%
Respiratory Support and Mechanisms
DOIOpen Access PDFOpenAlex
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Early Prediction of Rapid Oxygenation Loss as a Surrogate Marker for ARDS Using Machine Learning in Mechanically Ventilated ICU Patients · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS