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Using smartphones and wearable devices to monitor behavioural changes during COVID-19., , , , , , , , , and 13 other author(s). CoRR, (2020)A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project., , , , , , , , , and 17 other author(s). Health Inf. Sci. Syst., 10 (1): 6 (2022)Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021, , , , , , , , , and 1318 other author(s). (2024)Analysis of Prosodic Features During Cognitive Load in Patients with Depression., , , , , , , , , and . IWSDS, volume 704 of Lecture Notes in Electrical Engineering, page 193-199. Springer, (2020)Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study., , , , , , , , , and 19 other author(s). npj Digit. Medicine, (2023)Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder., , , , , , , , , and 15 other author(s). Interspeech, page 631-635. ISCA, (2021)Blunted Autonomic Reactivity to Mental Stress in Depression Quantified by Nonlinear Cardiorespiratory Coupling Indices., , , , , , , , , and 1 other author(s). CinC, page 1-4. IEEE, (2020)Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010., , , , , , , , , and 351 other author(s). Lancet (London, England), 380 (9859): 2197--2223 (Dec 15, 2012)