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

Development and Evaluation of Research Methods, Instruments and Tools (764) Machine Learning (2124) Patient Experiences with Diabetes Technology (49) Decision Support for Health Professionals (1564) Artificial Intelligence in Diabetes Care and Prevention (55) Diabetes Surveillance and Epidemiology (39) New Methods (1145)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54373, first published .
Proactive Identification of Patients with Diabetes at Risk of Uncontrolled Outcomes during a Diabetes Management Program: Conceptualization and Development Study Using Machine Learning

Proactive Identification of Patients with Diabetes at Risk of Uncontrolled Outcomes during a Diabetes Management Program: Conceptualization and Development Study Using Machine Learning

Proactive Identification of Patients with Diabetes at Risk of Uncontrolled Outcomes during a Diabetes Management Program: Conceptualization and Development Study Using Machine Learning

Authors of this article:

Arash Khalilnejad1 Author Orcid Image ;   Ruo-Ting Sun1 Author Orcid Image ;   Tejaswi Kompala1 Author Orcid Image ;   Stefanie Painter1 Author Orcid Image ;   Roberta James1 Author Orcid Image ;   Yajuan Wang1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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  2. González-Rivas J, Seyedi S, Mechanick J. Artificial Intelligence Enabled Lifestyle Medicine in Diabetes Care: A Narrative Review. American Journal of Lifestyle Medicine 2025 View
  3. Olawade D, Owhonda R, Alabi J, Egbon E, Ayo Daniel R, Bello O. Digital twin paradigm in diabetes prediction and management. Diabetes Research and Clinical Practice 2026;231:113075 View