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

AI in Older Adult Care (42) Wearable Devices and Sensors (1164) Depression and Mood Disorders; Suicide Prevention (1716) Machine Learning (2129) Sensors at Home and Domotics (81)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67715, first published .
Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study

Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study

Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study

Authors of this article:

Shayan Nejadshamsi1, 2, 3 Author Orcid Image ;   Vania Karami1, 2, 3 Author Orcid Image ;   Negar Ghourchian4 Author Orcid Image ;   Narges Armanfard1, 5 Author Orcid Image ;   Howard Bergman2 Author Orcid Image ;   Roland Grad2 Author Orcid Image ;   Machelle Wilchesky2, 3, 6 Author Orcid Image ;   Vladimir Khanassov2 Author Orcid Image ;   Isabelle Vedel2 Author Orcid Image ;   Samira Abbasgholizadeh Rahimi1, 2, 3, 7 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

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  3. Deng H, Moradi M. Multi-label feature selection with shared latent structure and hypergraph learning for biological data. Alexandria Engineering Journal 2025;129:1109 View
  4. Liu L, Tang L, Dai M, Ding X, Wu L, Ke X, Luo J, Liu N. Transcultural prediction model for late-life depression based on multi-cohort machine learning and explainable AI. Journal of Affective Disorders 2026;392:120169 View
  5. Xu J, Zhang W, Liu W. Research Status and Trends in Virtual Reality Technology for Older Adults: Bibliometric and Visual Analysis. JMIR Aging 2025;8:e76609 View
  6. Yahya F, Cooper M, Saif W, Kassem M, Nazar H. Development of a Hospital-at-Home Digital Twin for Patients With Frailty: Scoping Review. Journal of Medical Internet Research 2025;27:e81510 View