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

AI in Older Adult Care (46) Cognitive Training for the Elderly (163) Machine Learning (2215) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (680) Foundations of AI (65) Research Methodology - AI (47)

Published on in Vol 9 (2026)

This is a member publication of Florida State University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79123, first published .
Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults Using Source-Free Domain Adaptation: Algorithm Development and Validation

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults Using Source-Free Domain Adaptation: Algorithm Development and Validation

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults Using Source-Free Domain Adaptation: Algorithm Development and Validation

Authors of this article:

Ronast Subedi1 Author Orcid Image ;   Shayok Chakraborty1 Author Orcid Image ;   Zhe He2, 3 Author Orcid Image ;   Yuanying Pang2 Author Orcid Image ;   Shenghao Zhang4 Author Orcid Image ;   Mia Liza Lustria2 Author Orcid Image ;   Neil Charness4 Author Orcid Image ;   Walter Boot4 Author Orcid Image
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