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...
Main Authors: | Yuuki Tazawa, Kuo-ching Liang, Michitaka Yoshimura, Momoko Kitazawa, Yuriko Kaise, Akihiro Takamiya, Aiko Kishi, Toshiro Horigome, Yasue Mitsukura, Masaru Mimura, Taishiro Kishimoto |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-02-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844020301195 |
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