Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling

BACKGROUND: Depression is a prevalent mental disorder that is undiagnosed and untreated in half of all cases. Wearable activity trackers collect fine-grained sensor data characterizing the behavior and physiology of users (ie, digital biomarkers), which could be used for timely, unobtrusive, and sca...

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Detalles Bibliográficos
Autores principales: Rykov, Yuri, Thach, Thuan-Quoc, Bojic, Iva, Christopoulos, George, Car, Josip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576601/
https://www.ncbi.nlm.nih.gov/pubmed/34694233
http://dx.doi.org/10.2196/24872

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576601/
https://www.ncbi.nlm.nih.gov/pubmed/34694233
http://dx.doi.org/10.2196/24872

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