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

• Main Authors: Shaoxiong Sun (Author), Amos A Folarin (Author), Yuezhou Zhang (Author), Nicholas Cummins (Author), Rafael Garcia-Dias (Author), Callum Stewart (Author), Yatharth Ranjan (Author), Zulqarnain Rashid (Author), Pauline Conde (Author), Petroula Laiou (Author), Heet Sankesara (Author), Faith Matcham (Author), Daniel Leightley (Author), Katie M White (Author), Carolin Oetzmann (Author), Alina Ivan (Author), Femke Lamers (Author), Sara Siddi (Author), Sara Simblett (Author), Raluca Nica (Author), Aki Rintala (Author), David C Mohr (Author), Inez Myin-Germeys (Author), Til Wykes (Author), Josep Maria Haro (Author), Brenda W J H Penninx (Author), Srinivasan Vairavan (Author), Vaibhav A Narayan (Author), Peter Annas (Author), Matthew Hotopf (Author), Richard J B Dobson (Author)
• Format: Book
• Published: JMIR Publications, 2023-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundMajor depressive disorder (MDD) affects millions of people worldwide, but timely treatment is not often received owing in part to inaccurate subjective recall and variability in the symptom course. Objective and frequent MDD monitoring can improve subjective recall and help to guide treatm...