Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery

Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery

Abstract Background Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause significant challenges to perioperative workflow. We describe the development of a machine-learning derived model to predict UIAs using only widely used preoperative variables. Methods This w...

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Bibliographic Details
Main Authors: Catherine Chiu, Matthias R. Braehler, Anne L. Donovan, Atul J. Butte, Romain Pirracchio, Andrew M. Bishara
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Anesthesiology
Subjects:
Unanticipated ICU admission
Machine learning
Artificial intelligence
Predictive analytics
Online Access:https://doi.org/10.1186/s12871-025-03195-8
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https://doi.org/10.1186/s12871-025-03195-8

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