Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Year of publication

2023

Authors

Sun, Shaoxiong; Folarin, Amos A; Zhang, Yuezhou; Cummins, Nicholas; Garcia-Dias, Rafael; Stewart, Callum; Ranjan, Yatharth; Rashid, Zulqarnain; Conde, Pauline; Laiou, Petroula; Sankesara, Heet; Matcham, Faith; Leightley, Daniel; White, Katie M; Oetzmann, Carolin; Ivan, Alina; Lamers, Femke; Siddi, Sara; Simblett, Sara; Nica, Raluca; Rintala, Aki; Mohr, David C; Myin-Germeys, Inez; Wykes, Til; Haro, Josep Maria; Penninx, Brenda W J H; Vairavan, Srinivasan; Narayan, Vaibhav A; Annas, Peter; Hotopf, Matthew; Dobson, Richard J B; undefined, undefined

Organizations and authors

LAB University of Applied Sciences

Rintala Aki

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Journal of medical internet research

Publisher

Symposion-Publishing-GmbH

Volume

Article number

e45233

ISSN

1438-8871

Publication forum

60991

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Other information

Fields of science

Neurosciences; Neurology and psychiatry; Public health care science, environmental and occupational health

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

Yes

DOI

10.2196/45233

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes