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

Advanced Data Analytics in eHealth (214) Machine Learning (2103) Artificial Intelligence (2169) Artificial Intelligence in Diabetes Care and Prevention (54) Clinical Information and Decision Making (1939) Decision Support for Health Professionals (1556) Nephrology/Renal Disorders (100) Hypertension Prevention and Treatment (301)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64979, first published .
Interpretable Machine Learning Model for Predicting and Assessing the Risk of Diabetic Nephropathy: Prediction Model Study

Interpretable Machine Learning Model for Predicting and Assessing the Risk of Diabetic Nephropathy: Prediction Model Study

Interpretable Machine Learning Model for Predicting and Assessing the Risk of Diabetic Nephropathy: Prediction Model Study

Authors of this article:

Yili Wen1 Author Orcid Image ;   Zhiqiang Wan2 Author Orcid Image ;   Huiling Ren1 Author Orcid Image ;   Xu Wang1 Author Orcid Image ;   Weijie Wang1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Li Q, Cheng M, Zhang X. Review on the Gut‐Kidney Axis Mechanism and Therapeutic Strategies in Diabetic Nephropathy. Diabetes/Metabolism Research and Reviews 2026;42(1) View
  2. Ajith T. Emerging Biomarkers in Diabetic Kidney Disease: The Necessity for Future Validation Studies, Mechanistic Investigation, and Integration into Risk Models. Journal of Advanced Health Research & Clinical Medicine 2025;2(2):41 View