Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning

OBJECTIVE: We aimed to develop a machine learning algorithm to screen for depression and assess severity based on data from wearable devices. METHODS: We used a wearable device that calculates steps, energy expenditure, body movement, sleep time, heart rate, skin temperature, and ultraviolet light e...

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Detalles Bibliográficos
Autores principales: Tazawa, Yuuki, Liang, Kuo-ching, Yoshimura, Michitaka, Kitazawa, Momoko, Kaise, Yuriko, Takamiya, Akihiro, Kishi, Aiko, Horigome, Toshiro, Mitsukura, Yasue, Mimura, Masaru, Kishimoto, Taishiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005437/
https://www.ncbi.nlm.nih.gov/pubmed/32055728
http://dx.doi.org/10.1016/j.heliyon.2020.e03274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005437/
https://www.ncbi.nlm.nih.gov/pubmed/32055728
http://dx.doi.org/10.1016/j.heliyon.2020.e03274

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