Identifying potential three key targets gene for septic shock in children using bioinformatics and machine learning methods

Identifying potential three key targets gene for septic shock in children using bioinformatics and machine learning methods

BackgroundSeptic shock in children is an infectious disease caused by low immunity, and its mortality is very high. Early prediction of the risk of death in children with septic shock is helpful for clinicians to judge the severity of the disease, take active treatment measures, and improve the adve...

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Bibliographic Details
Main Authors: Wei Guo, Hao Chen, Feng Wang, Yingjiao Chi, Wei Zhang, Shan Wang, Kezhu Chen, Hong Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Immunology
Subjects:
septic shock
children
potential gene
inflammation
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1586584/full
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