Machine learning methods have the potential to enable the development of more personalized approaches to treatment of
mental health conditions. SCSS academic Dr. Gavin Doherty is a co-author of a paper from a cross-disciplinary international team, published in the highly ranked journal 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
Link to the relevant World Psychiatry Journal: Volume 20, Number 2 - June 2021