Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns

Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns

BackgroundBurn injuries are a common cause of trauma globally, with extensive burns (≥ 50% total body surface area burned) associated with high rates of sepsis and mortality. This study aims to identify risk factors associated with sepsis and mortality in extensively burned patients and to develop a...

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Bibliographic Details
Main Authors: Shi-Qi Wang, Kan Qiu, Qi-Rui Zheng, Bing-Jie Zhou, Ming-Yu Li, Hai-Yan Zhong, Yong Chen, Si-Ming Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
extensive burns
machine learning
sepsis
mortality
predictive model
SHAP
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2025.1586087/full
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https://www.frontiersin.org/articles/10.3389/fcimb.2025.1586087/full

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