This paper is in the following e-collection/theme issue:
Mobile Health (mhealth) (2972) Depression and Mood Disorders; Suicide Prevention (1384) Wearable Devices and Sensors (900) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1550)Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/45233, first published
.
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Authors of this article:
Shaoxiong Sun1 ; Amos A Folarin1, 2, 3, 4, 5 ; Yuezhou Zhang1 ; Nicholas Cummins1 ; Rafael Garcia-Dias6 ; Callum Stewart1 ; Yatharth Ranjan1 ; Zulqarnain Rashid1 ; Pauline Conde1 ; Petroula Laiou1 ; Heet Sankesara1 ; Faith Matcham7, 8 ; Daniel Leightley7 ; Katie M White7 ; Carolin Oetzmann7 ; Alina Ivan7 ; Femke Lamers9, 10 ; Sara Siddi11, 12, 13 ; Sara Simblett14 ; Raluca Nica15, 16 ; Aki Rintala17, 18 ; David C Mohr19 ; Inez Myin-Germeys17 ; Til Wykes14, 20 ; Josep Maria Haro11, 12, 13 ; Brenda W J H Penninx9, 10 ; Srinivasan Vairavan21 ; Vaibhav A Narayan22 ; Peter Annas23 ; Matthew Hotopf3, 7, 20 ; Richard J B Dobson1, 2, 3, 4, 5 ; RADAR-CNS Consortium24
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