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

Web-based and Mobile Health Interventions (4046) Diabetes (265) Diabetes Prevention (121) Machine Learning (2094) Clinical Information and Decision Making (1934) Decision Support for Health Professionals (1555) Artificial Intelligence (2161)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73190, first published .
Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Authors of this article:

Yongsheng Zhang1, 2 Author Orcid Image ;   Hongyu Zhang1, 2 Author Orcid Image ;   Dawei Wang1, 2 Author Orcid Image ;   Na Li3 Author Orcid Image ;   Haoyue Lv4 Author Orcid Image ;   Guang Zhang1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Natesh M, Ranjan Kumar H, Vinutha K, Tapkire M, Sulthana S, Swetha K, Bharath K. Improved Diabetes Detection Through Integration of External Risk Factors and Machine Learning Techniques. SN Computer Science 2025;6(8) View
  2. Yu F, Dong Y, Ye N, Xing C, Lyu X, Chen Y, Yang X, Pan S. Multiparameter MRI assessment of metformin and exercise effects on skeletal muscle in prediabetes: a randomized controlled trial. European Radiology Experimental 2025;9(1) View