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

Advanced Data Analytics in eHealth (202) Machine Learning (2025) Artificial Intelligence (2049) Artificial Intelligence in Diabetes Care and Prevention (50) Clinical Information and Decision Making (1865) Decision Support for Health Professionals (1506) Nephrology/Renal Disorders (95) Hypertension Prevention and Treatment (291)

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 Tweetations Metrics

Yili Wen   1 , MM ;   Zhiqiang Wan   2 , MEng ;   Huiling Ren   1 , MM ;   Xu Wang   1 , MM ;   Weijie Wang   1 , MM

1 Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

2 Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China

Corresponding Author:

  • Huiling Ren, MM
  • Institute of Medical Information/Medical Library
  • Chinese Academy of Medical Sciences & Peking Union Medical College
  • 3 Yabao Road, Chaoyang District
  • Beijing 100010
  • China
  • Phone: 86 01052328911
  • Email: ren.huiling@imicams.ac.cn