Interpretable machine learning-based prediction of 28-day mortality in ICU patients with sepsis: a multicenter retrospective study

Interpretable machine learning-based prediction of 28-day mortality in ICU patients with sepsis: a multicenter retrospective study

BackgroundSepsis is a major cause of mortality in intensive care units (ICUs) and continues to pose a significant global health challenge, with sepsis-related deaths contributing substantially to the overall burden on healthcare systems worldwide. The primary objective was to construct and evaluate...

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Bibliographic Details
Main Authors: Li Shen, Jiaqiang Wu, Jianger Lan, Chao Chen, Yi Wang, Zhiping Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
machine learning
sepsis
28-day mortality
multicenter retrospective study
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Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2024.1500326/full
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https://www.frontiersin.org/articles/10.3389/fcimb.2024.1500326/full

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