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

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

Published in: Journal of medical Internet research (2023)

This work contributes to our understanding of how these mobile health-derived features are associated with depression symptom severity to inform future work in stratified analyses.

Keyphrases

depressive symptoms
sleep quality
electronic health record
patient reported
heart rate
current status
big data
machine learning
physical activity
blood pressure
deep learning