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

Cognitive Training for the Elderly (149) Dementia and Cognitive Decline (696) User Training and Skills (58) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) mHealth for Treatment Adherence (467) Machine Learning (2076) Big Data Analytics for Elder Care (37) Health Services Research and Health Care Utilization in Older Patients (138)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53793, first published .
Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning

Authors of this article:

Ankita Singh1 Author Orcid Image ;   Shayok Chakraborty1 Author Orcid Image ;   Zhe He2, 3 Author Orcid Image ;   Yuanying Pang2 Author Orcid Image ;   Shenghao Zhang4 Author Orcid Image ;   Ronast Subedi1 Author Orcid Image ;   Mia Liza Lustria2 Author Orcid Image ;   Neil Charness5 Author Orcid Image ;   Walter Boot4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Zhang S, Dieciuc M, Dilanchian A, Lustria M, Carr D, Terracciano A, He Z, Chakraborty S, Charness N, Boot W. Introducing the Adherence Promotion with Person-centered Technology (APPT) trial: Rationale, methods, and baseline characteristics. Contemporary Clinical Trials 2025;157:108056 View

Books/Policy Documents

  1. Reddy K. Innovations in Neurocognitive Rehabilitation. View