Predicting recurrence of depression using lifelog data: an explanatory feasibility study with a panel VAR approach

Predicting recurrence of depression using lifelog data: an explanatory feasibility study with a panel VAR approach

Abstract Background Although depression has a high rate of recurrence, no prior studies have established a method that could identify the warning signs of its recurrence. Methods We collected digital data consisting of individual activity records such as location or mobility information (lifelog dat...

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Bibliographic Details
Main Authors: Narimasa Kumagai, Aran Tajika, Akio Hasegawa, Nao Kawanishi, Masaru Horikoshi, Shinji Shimodera, Ken’ichi Kurata, Bun Chino, Toshi A. Furukawa
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Psychiatry
Subjects:
Depression
Kessler psychological distress scale
Kurashi-app
Lifelog
Long sleep time
Panel vector autoregressive model
Online Access:https://doi.org/10.1186/s12888-019-2382-2

Internet

https://doi.org/10.1186/s12888-019-2382-2

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