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

BackgroundDepression, characterized by persistent sadness and loss of interest in daily activities, greatly reduces quality of life. Early detection is vital for effective treatment and intervention. While many studies use wearable devices to classify depression based on phys...

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Бібліографічні деталі
Автори: Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi
Формат: Artigo
Мова:Inglês
Опубліковано: JMIR Publications 2025-03-01
Серія:JMIR Aging
Онлайн доступ:https://aging.jmir.org/2025/1/e67715
Теги: Додати тег
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