External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis

Abstract Background Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a c...

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Bibliographic Details
Main Authors: Patrick Rockenschaub, Ela Marie Akay, Benjamin Gregory Carlisle, Adam Hilbert, Joshua Wendland, Falk Meyer-Eschenbach, Anatol-Fiete Näher, Dietmar Frey, Vince Istvan Madai
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Intensive care unit
Electronic health records
Machine learning
Acute deterioration
External validation
Online Access:https://doi.org/10.1186/s12911-024-02830-7
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https://doi.org/10.1186/s12911-024-02830-7

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