Digital biomarkers of mood disorders and symptom change
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)
Link
http://www.nature.com/articles/s41746-019-0078-0.pdf
Reference11 articles.
1. Kessler, R. C. et al. The global burden of mental disorders: an update from the WHO World Mental Health (WMH) Surveys. Epidemiol. Psichiatr. Soc. 18, 23–33 (2009).
2. Mohr, D. C., Zhang, M. & Schueller, S. M. Personal sensing: understanding mental health using ubiquitous sensors and machine learning. Annu Rev. Clin. Psychol. 13, 23–47 (2017).
3. Torous, J. & Powell, A. C. Current research and trends in the use of smartphone applications for mood disorders. Internet Interv. 2, 169–173 (2015).
4. Garcia-Ceja, E. et al. Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients in Proceedings of the 9th ACM on Multimedia Systems Conference (ACM). Accessed on 5 September 2018. http://datasets.simula.no/depresjon/ .
5. Garcia-Ceja, E. Personal Communication [11/1/2018].
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