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

AI in Older Adult Care (31) Wearable Devices and Sensors (983) Depression and Mood Disorders; Suicide Prevention (1505) Machine Learning (1704) Sensors at Home and Domotics (66)

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 Tweetations (2) Metrics

Altmetric

Article has an altmetric score of 22
Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually