Who responds to psychotherapy and who does not? An Artificial Intelligence Approach


Common mental disorders affect millions of people worldwide. Effective treatment exists but does not work for all patients. However, little is known about who benefits from what kind of treatment, partly because traditional statistics do not focus on individuals but on groups of people with similar symptoms. In the proposed research, I will identify who benefits from psychotherapy using machine learning. Machine learning is a powerful computational approach from the field of Artificial Intelligence, with wide applications in everyday life, such as in medicine. However, it is relatively new to the Clinical Psychology field. This approach offers important benefits over traditional methods because it particularly focuses on individual differences and it is suited to complex analyses. I will apply machine learning to data from over 10,000 individual patients in trials of psychotherapy for common mental disorders in low- and middle-income countries. This will allow me to identify patterns of information that cannot be identified through traditional statistics. This groundbreaking research will provide precise estimates of individual differences in treatment response and will contribute to the emerging models of personalized psychotherapy.





Dr. E. Karyotaki

Verbonden aan

Vrije Universiteit Amsterdam, Faculteit der Gedrags- en Bewegingswetenschappen, Klinische, Neuro- en Ontwikkelingspsychologie - KNOP


01/08/2019 tot 31/05/2020