Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46287, first published .
Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial

Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial

Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial

Journals

  1. Polak S, Sillevis Smitt M, Jacobs A, van Leeuwen C, Doyle J, Cullen-Smith S, Dinsmore J. A User Typology for Digital Health Self-Management Technologies: A Qualitative Study of the Long-term User Experiences of Older Adults with a Digital Self-Management Platform for Multimorbidity (ProACT). Journal of Healthcare Informatics Research 2025 View
  2. Maheta B, Kraft A, Interrante N, Fereydooni S, Bailenson J, Beams B, Keny ​, Osborne T, Giannitrapani K, Lorenz K. Using Virtual Reality to Improve Outcomes Related to Quality of Life Among Older Adults With Serious Illnesses: Systematic Review of Randomized Controlled Trials. Journal of Medical Internet Research 2025;27:e54452 View
  3. Kosmidis D, Simopoulos D, Anastasopoulos K, Koutsouki S. Machine Learning in Nursing: A Cross-Disciplinary Review. Cureus 2025 View
  4. Hepburn J, Williams L, McCann L. Barriers to and Facilitators of Digital Health Technology Adoption Among Older Adults With Chronic Diseases: Updated Systematic Review. JMIR Aging 2025;8:e80000 View
  5. Dijkstra H, Muppiri M, Oosterhoff J, Doornberg J, van Munster B, Verhoeff M. Enhancing healthcare for patients with multiple chronic conditions using machine learning and medical specialist data: a scoping review. Health and Technology 2025 View