Paper on Machine Learning in Mental Health Accepted to ACM ToCHI

Machine Learning can be expected to have a significant impact on the field of mental health in the coming years. Researchers in computing have been exploring the potential of these systems, looking at a variety of data sources ranging from sensor based systems to electronic health records. In this paper, we review work in the computing literature, and advocate for a more human-centered approach, in order to ethically and effectively realise the potential of these systems.

A. Thieme, D. Belgrave & G. Doherty, Machine Learning in Mental Health : A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems, ACM Transactions on Computer-Human Interaction. DOI 10.1145/3398069, in press, 2020. PDF Preprint.