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Using smartphones and wearable devices to monitor behavioural changes during COVID-19., , , , , , , , , and 13 other author(s). CoRR, (2020)Prevalence and age patterns of depression in the United Kingdom. A population-based study, , , , , , , , , and . Journal of Affective Disorders, (2021)Fitbeat: COVID-19 Estimation based on Wristband Heart Rate., , , , , , , , , and 19 other author(s). CoRR, (2021)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)Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age., , and . npj Digit. Medicine, (2020)The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions., , , , , , , , , and 17 other author(s). Comput. Methods Programs Biomed., (2022)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)Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder., , , , , , , , , and 20 other author(s). Pattern Recognit., (2022)A comparison of mental state examination documentation by junior clinicians in electronic health records before and after the introduction of a semi-structured assessment template (OPCRIT+)., , , , , , , , , and 5 other author(s). Int. J. Medical Informatics, 84 (9): 675-682 (2015)Digital health tools for the passive monitoring of depression: a systematic review of methods., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2022)