Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47122, first published .
Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study

Journals

  1. Nimri R, Phillip M, Clements M, Kovatchev B. Closed-Loop, Artificial Intelligence-Based Decision Support Systems, and Data Science. Diabetes Technology & Therapeutics 2025;27(S1):S64 View
  2. Ratna sari , Mikawati , Evi lusiana , Muaningsih , Rizky pratiwi . THE IMPACT OF HEALTH EDUCATION USING FOCUS GROUP DISCUSSION ON BREAST SELF-EXAMINATION (BSE) BEHAVIOR AMONG FEMALE STUDENTS AT SMAN 14 MAKASSAR. Journal of Child, Family, and Consumer Studies 2025;4(1):40 View
  3. Zhou J, Cheng Y, He S, Chen Y, Chen H. Large Language Models for Transforming Healthcare: A Perspective on DeepSeek‐R1. MedComm – Future Medicine 2025;4(2) View
  4. Ivanov M, Rueda A, Bhat V, Krishnan S. Multimodal Framework for Therapeutic Consultations. IEEE Transactions on Affective Computing 2025;16(4):2653 View
  5. Farley B, Radetich E, DAlessandro J, Bulaj G. Metformin-Enhanced Digital Therapeutics for the Affordable Primary Prevention of Diabetes and Cardiovascular Diseases: Advancing Low-Cost Solutions for Lifestyle-Related Chronic Disorders. Healthcare 2025;13(24):3220 View
  6. Nasri S, Kavakli-Throne M, Hassan-Smith Z, Salt A, Hassan-Smith G. Gamification in digital healthcare: from evidence review to a novel framework for enhancing patient engagement in chronic disease management. F1000Research 2025;14:1396 View