Early detection of ICU-acquired infections using high-frequency electronic health record data

Early detection of ICU-acquired infections using high-frequency electronic health record data

Abstract Background Nosocomial infections are a major cause of morbidity and mortality in the ICU. Earlier identification of these complications may facilitate better clinical management and improve outcomes. We developed a dynamic prediction model that leveraged high-frequency longitudinal data to...

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Bibliographic Details
Main Authors: Meri R. J. Varkila, Giacomo Lancia, Maarten van Smeden, Marc J. M. Bonten, Cristian Spitoni, Olaf L. Cremer
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Critical illness
ICU
Infection
Nosocomial
Machine learning
Online Access:https://doi.org/10.1186/s12911-025-03031-6
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https://doi.org/10.1186/s12911-025-03031-6

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