Digital biomarkers for depression screening with wearable devices: cross-sectional study with machine learning modeling

• Main Authors: Rykov, Yuri, Thach, Thuan-Quoc, Bojic, Iva, Christopoulos, George, Car, Josip
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Medicine; Business::General; Depression; Digital Biomakers
• Online Access: https://hdl.handle.net/10356/153936
• Institution: Nanyang Technological University

Background: Depression is a prevalent mental disorder that is undiagnosed and untreated in half of all cases. Wearable activity trackers collect fine-grained sensor data characterizing the behavior and physiology of users (ie, digital biomarkers), which could be used for timely, unobtrusive, and sc...