Evidence Based
Sahha's technology is backed by cutting-edge research in digital phenotyping
Sahha is currently involved in internal and external research projects backed by leading universities and research organisations.
3.5K+ Participants are involved in our internal research projects across a diverse range of ages, genders and nationailities.
84% Accuracy for our highest performing model (as of Aug 2022). Read out latest data science report
37.3K+ samples collected to train our models.
Our current methodology is based off of the current literature, there are many papers existing today that show how digital biomarkers and behaviors are used to predict mental health assessment tools used by clinicians.
Academic research papers highlighting how digital biomarkers and behaviors can be used predictors for clinical mental health assessments:
Evidence that behavioral markers from smartphones and other devices can be used to detect mood disorders
- Opoku Asare K, Terhorst Y, Vega J, Peltonen E, Lagerspetz E, Ferreira D Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study JMIR Mhealth Uhealth 2021;9(7):e26540 URL: https://mhealth.jmir.org/2021/7/e26540 DOI: 10.2196/26540
- Radhakrishnan K, Kim MT, Burgermaster M, Brown RA, Xie B, Bray MS, Fournier CA. The potential of digital phenotyping to advance the contributions of mobile health to self-management science. Nurs Outlook. 2020 Sep-Oct;68(5):548-559. doi: 10.1016/j.outlook.2020.03.007. Epub 2020 May 8. PMID: 32402392.
- Kim, S., Favotto, L., Halladay, J. et al. Differential associations between passive and active forms of screen time and adolescent mood and anxiety disorders. Soc Psychiatry Psychiatr Epidemiol 55, 1469–1478 (2020). https://doi.org/10.1007/s00127-020-01833-9
Evidence that sleep is related to mood disorders and mental health
- Bei Bei, DPsych(Clinical), PhD, Rachel Manber, PhD, Nicholas B. Allen, PhD, John Trinder, PhD, Joshua F. Wiley, PhD, Too Long, Too Short, or Too Variable? Sleep Intraindividual Variability and Its Associations With Perceived Sleep Quality and Mood in Adolescents During Naturalistically Unconstrained Sleep, Sleep, Volume 40, Issue 2, 1 February 2017, zsw067, https://doi.org/10.1093/sleep/zsw067
- Matthew J. Blake, John A. Trinder, Nicholas B. Allen, Mechanisms underlying the association between insomnia, anxiety, and depression in adolescence: Implications for behavioral sleep interventions, Clinical Psychology Review, Volume 63, 2018,Pages 25-40, ISSN 0272-7358, https://doi.org/10.1016/j.cpr.2018.05.006.
Evidence that physical activity is related to mood disorders and mental health
- Stavrakakis, N., Booij, S. H., Roest, A. M., de Jonge, P., Oldehinkel, A. J., & Bos, E. H. (2015). Temporal dynamics of physical activity and affect in depressed and nondepressed individuals. Health Psychology, 34(Suppl), 1268–1277. https://doi.org/10.1037/hea0000303
- Harvey, S., Hotopf, M., Øverland, S., & Mykletun, A. (2010). Physical activity and common mental disorders. British Journal of Psychiatry, 197(5), 357-364. doi:10.1192/bjp.bp.109.075176