Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota

Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota

PurposeHuman gut microbiota has been shown to be significantly associated with various inflammatory diseases. Therefore, this study aimed to develop an excellent auxiliary tool for the diagnosis of juvenile idiopathic arthritis (JIA) based on fecal microbial biomarkers.MethodThe fecal metagenomic se...

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Bibliographic Details
Main Authors: Jun-Bo Tu, Wei-Jie Liao, Si-Ping Long, Meng-Pan Li, Xing-Hua Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
juvenile idiopathic arthritis
fecal microbes
machine learning
diagnosis
XGB algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2024.1371371/full

Internet

https://www.frontiersin.org/articles/10.3389/fcimb.2024.1371371/full

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