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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Veröffentlicht in:	HELIYON 2020-02, Vol.6 (2)
Hauptverfasser:	Tazawa, Yuuki, Liang, Kuo-ching, Yoshimura, Michitaka, Kitazawa, Momoko, Kaise, Yuriko, Takamiya, Akihiro, Kishi, Aiko, Horigome, Toshiro, Mitsukura, Yasue, Mimura, Masaru, Kishimoto, Taishiro
Format:	Artikel
Sprache:	eng
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