Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database

Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database

BackgroundSepsis associated encephalopathy (SAE) is prevalent among elderly patients in the ICU and significantly affects patient prognosis. Due to the symptom similarity with other neurological disorders and the absence of specific biomarkers, early clinical diagnosis remains challenging. This stud...

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Bibliographic Details
Main Authors: Yupeng Han, Xiyuan Xie, Jiapeng Qiu, Yijie Tang, Zhiwei Song, Wangyu Li, Xiaodan Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
machine learning
early prediction
sepsis associated encephalopathy
elderly
MIMIC-IV
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2025.1545979/full
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https://www.frontiersin.org/articles/10.3389/fcimb.2025.1545979/full

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