Engagement is one of the primary challenges in the design of digital health interventions, however interaction with these interventions is complex, and can be difficult to characterise. In this paper, we explore the use of machine learning techniques to analyse engagment in digital mental health interventions. The work was carried out in collaboration with researchers in Microsoft Research, SilverCloud Health, and TCD School of Psychology.
Chien I, Enrique A, Palacios J, Regan, T., Keegan, D., Carter, D., Tschiatschek S., Nori, A., Thieme, A., Richards, D., Doherty, G., Belgrave, D., A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions. JAMA Netw Open. 2020;3(7):e2010791. doi:10.1001/jamanetworkopen.2020.10791