A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions

Abstract

The findings of this study may facilitate tailoring interventions according to specific subtypes of engagement for individuals with depression and anxiety. Informing clinical decision needs of supporters may be a route to successful adoption of machine learning insights, thus improving clinical outcomes overall.