Machine learning methods have the potential to enable the development of more personalized approaches to treatment of mental health conditions. Digital treatment delivery may be particularly amenable to the application of these techniques. I am delighted to be a co-author of a paper from a cross-disciplinary international team, published in World Psychiatry. The paper examines the potential of machine learning to provide outcome predictions for mental health treatment, as well as considering ethical challenges surrounding the use of these techniques.
Chekroud, A.M., Bondar, J., Delgadillo, J., Doherty, G., Wasil, A., Fokkema, M., Cohen, Z., Belgrave, D., DeRubeis, R., Iniesta, R., Dwyer, D. and Choi, K. (2021), The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry, 20: 154-170. https://doi.org/10.1002/wps.20882