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

Artificial Intelligence in Diabetes Care and Prevention (56) Health Information Exchange (149) Tools, Programs and Algorithms (392) Blockchain, Distributed Ledger Apps for Health and Medicine (89) Clinical Informatics (1366) Clinical Information and Decision Making (1973) Ethics, Privacy, and Legal Issues (631)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79166, first published .
Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework

Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework

Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework

Authors of this article:

Md Rakibul Hasan1 Author Orcid Image ;   Juan Li1 Author Orcid Image
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Md Rakibul Hasan   1 , MSc ;   Juan Li   1 , PhD

1 Department of Computer Science, Faculty, North Dakota State University, Fargo, ND, United States

Corresponding Author:

  • Juan Li, PhD
  • Department of Computer Science
  • Faculty, North Dakota State University
  • 258 Quentin Burdick Bldg, Computer Science Department, NDSU, 1320 Albrecht Blvd
  • Fargo, ND 58105
  • United States
  • Phone: 1 701-231-9662
  • Email: J.Li@ndsu.edu