Machine learning in predicting T-score in the Oxford classification system of IgA nephropathy

Machine learning in predicting T-score in the Oxford classification system of IgA nephropathy

BackgroundImmunoglobulin A nephropathy (IgAN) is one of the leading causes of end-stage kidney disease (ESKD). Many studies have shown the significance of pathological manifestations in predicting the outcome of patients with IgAN, especially T-score of Oxford classification. Evaluating prognosis ma...

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Bibliographic Details
Main Authors: Lin-Lin Xu, Di Zhang, Hao-Yi Weng, Li-Zhong Wang, Ruo-Yan Chen, Gang Chen, Su-Fang Shi, Li-Jun Liu, Xu-Hui Zhong, Shen-Da Hong, Li-Xin Duan, Ji-Cheng Lv, Xu-Jie Zhou, Hong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Immunology
Subjects:
IgA nephropathy
machine learning
Oxford classification system
prediction model
end-stage kidney disease
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1224631/full

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https://www.frontiersin.org/articles/10.3389/fimmu.2023.1224631/full

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