Predicting intra-abdominal hypertension using anthropometric measurements and machine learning

Abstract Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently, the gold standard for measuring intra-abdominal pressure (IAP) is via the bladder. Measurement of IAP is important to identify IAH early and thus implement appropriate management in order t...

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Bibliographic Details
Main Authors:	Salar Tayebi, Rob Wise, Niels Van Regenmortel, Hilde Dits, Karen Schoonheydt, Inneke De laet, Luca Malbrain, Johan Stiens, Wojciech Dabrowski, Manu L. N. G. Malbrain
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Series:	Scientific Reports
Subjects:	Intra-abdominal pressure Anthropometric parameters Statistical analyses Predictive models
Online Access:	https://doi.org/10.1038/s41598-025-93823-7
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Predicting intra-abdominal hypertension using anthropometric measurements and machine learning

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