3 papers
cs.CV2025
An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices
Yuezhou Zhang, Amos A. Folarin, Callum Stewart +7
Continuous monitoring of behavior and physiology via wearable devices offers a novel, objective method for the early detection of worsening depression and anxiety. In this study, w…
q-bio.QM2024
Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants
Yuezhou Zhang, Callum Stewart, Yatharth Ranjan +6
Digital phenotyping offers a novel and cost-efficient approach for managing depression and anxiety. Previous studies, often limited to small-to-medium or specific populations, may…
stat.AP2024
Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health study
Yuezhou Zhang, Amos A. Folarin, Yatharth Ranjan +20
Prior research has shown that changes in seasons and weather can have a significant impact on depression severity. However, findings are inconsistent across populations, and the in…