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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Detaylı Bibliyografya
Asıl Yazarlar:	Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	JMIR Publications 2025-03-01
Seri Bilgileri:	JMIR Aging
Online Erişim:	https://aging.jmir.org/2025/1/e67715
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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