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

Usability and Technology Use Studies with Elder Subjects (294) Medication Adherence (155) Machine Learning (2242) AI in Older Adult Care (50) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (44)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84616, first published .
Personalized Predictive Model to Predict Subtask Success of Medication Adherence Technologies for Older Adults With Diverse Capabilities: Development and Internal Validation Study

Personalized Predictive Model to Predict Subtask Success of Medication Adherence Technologies for Older Adults With Diverse Capabilities: Development and Internal Validation Study

Personalized Predictive Model to Predict Subtask Success of Medication Adherence Technologies for Older Adults With Diverse Capabilities: Development and Internal Validation Study

Authors of this article:

Bincy Baby1 Author Orcid Image ;   Ghada Elba1 Author Orcid Image ;   Minzee Kim2 Author Orcid Image ;   SooMin Park1 Author Orcid Image ;   Imra Hudani1 Author Orcid Image ;   Rishabh Sharma1 Author Orcid Image ;   Halak Patel1 Author Orcid Image ;   Sidharth Bajaj2 Author Orcid Image ;   P K Patterson3 Author Orcid Image ;   Annette McKinnon3 Author Orcid Image ;   Sara J T Guilcher4 Author Orcid Image ;   Feng Chang1 Author Orcid Image ;   Linda Lee5 Author Orcid Image ;   Catherine Burns6 Author Orcid Image ;   Ryan Griffin7 Author Orcid Image ;   Joslin Goh2 Author Orcid Image ;   Tejal Patel1, 8 Author Orcid Image
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