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This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (2073) mHealth in a Clinical Setting (776) Methods and Instruments in Medical Informatics (213) Advanced Data Analytics in eHealth (237) Machine Learning (2235) Network biology (4)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65563, first published .
Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

Authors of this article:

Jiaxing Tan1 Author Orcid Image ;   Rongxin Yang2 Author Orcid Image ;   Liyin Xiao2 Author Orcid Image ;   Lingqiu Dong1 Author Orcid Image ;   Zhengxia Zhong3 Author Orcid Image ;   Ling Zhou4 Author Orcid Image ;   Wei Qin1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Zhang L, Hu L, Tan L, Zhang Z, Chen M, Gan W, Chen L, Zou Y, Wang S, Pang Y, Fan Z, Liu J. The dysbiosis of gut microbiota and dysregulation of metabolites in IgA nephropathy and membranous nephropathy. Frontiers in Medicine 2025;12 View
  2. Xu H, Ge S. Risk prediction in IgA nephropathy: from conventional models to machine learning, deep learning, and precision nephrology. Renal Failure 2026;48(1) View