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

Decision Support for Health Professionals (1594) Precision Medicine (174) Machine Learning (2173) Clinical Information and Decision Making (2007) Nephrology/Renal Disorders (106)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78761, first published .
Development and Validation of a Predictive Model for Severe Tubular Atrophy/Interstitial Fibrosis in Patients with IgA Nephropathy: Multicenter Retrospective Study

Development and Validation of a Predictive Model for Severe Tubular Atrophy/Interstitial Fibrosis in Patients with IgA Nephropathy: Multicenter Retrospective Study

Development and Validation of a Predictive Model for Severe Tubular Atrophy/Interstitial Fibrosis in Patients with IgA Nephropathy: Multicenter Retrospective Study

Authors of this article:

Caizheng Yu1 Author Orcid Image ;   Zhitong Niu2 Author Orcid Image ;   Qin Fang3 Author Orcid Image ;   Qing Lei4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Zhu C, An J, Zhou L. Neutrophil Percentage–to-Albumin Ratio as a Novel Prognostic Biomarker in Adult Diffuse Gliomas: Retrospective Study Integrating 3 Machine Learning Models and Cox Regression. JMIR Medical Informatics 2026;14:e79945 View