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Development and Validation of VC-MAES and VC-SEPS: Deep Learning-Based Early Warning Systems for Hospitalized Patients

2025-08-24

Abstract excerpt

The timely detection of ward deterioration—including unplanned intensive care unit (ICU) transfer, cardiac arrest, death, and sepsis—remains an unmet need. Although rule-based early warning scores and newer machine-learning models have been introduced, their clinical adoption is limited owing to challenges such as low predictive performance, excessive false alarms, and lack of generalizability. This study aimed to...

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Literature Corpus work
bb8b47be-5208-5152-8346-4eff73063cc5
DOI
10.1101/2025.08.20.25334022
Open publication

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Development and Validation of VC-MAES and VC-SEPS: Deep Learning-Based Early Warning Systems for Hospitalized PatientsDOI 10.1101/2025.08.20.25334022
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