Development of a host-signature-based machine learning model to diagnose bacterial and viral infections in febrile children

Development of a host-signature-based machine learning model to diagnose bacterial and viral infections in febrile children

BackgroundEarly aetiological diagnosis is critical for the management of febrile children with infectious illness, as it strongly influences the choice of appropriate medication and can affect a child's complications and outcome. New diagnostic strategies based on host genes have recently been...

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Bibliographic Details
Main Authors: Fang Bai, Zelong Gong, Dong Cui, Xiaomei Zhang, Wenteng Hong, Yi Gao, Kai Lin, Weijie Chen, Lu Li, Juan Huang, Biying Zheng, Junfa Xu, Na Xiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Pediatrics
Subjects:
machine learning
bacteria
virus
febrile children
host gene signatures
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2025.1608812/full
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https://www.frontiersin.org/articles/10.3389/fped.2025.1608812/full

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