Comparing three neural networks to predict depression treatment outcomes in psychological therapies
Neural networks can help predict symptom remission in new samples with moderate accuracy, although these models were no more accurate than a simpler inferential statistical linear regression model.
Authors
- Jana Schaffrath (ORCID: https://orcid.org/0000-0003-0106-0243)
- Jaime Delgadillo (ORCID: https://orcid.org/0000-0001-5349-230X)
- Danilo Moggia (ORCID: https://orcid.org/0000-0001-6321-4450)
- Brian Schwartz (ORCID: https://orcid.org/0000-0003-4695-4953)
- Miriam I. Hehlmann (ORCID: https://orcid.org/0000-0002-1069-0813)
- Wolfgang Lutz (ORCID: https://orcid.org/0000-0002-5141-3847)
- Julia Giesemann (ORCID: https://orcid.org/0000-0002-3370-793X)
- Christopher T. Baumann
Institutions
- Trier University of Applied Sciences (DE)
- Osnabrück University (DE)
- Universität Trier (DE)
- University of Sheffield (GB)
Publication Details
- Journal
- Behaviour Research and Therapy
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1016/j.brat.2025.104752
- Citations
- 2
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 4.24
Funders
- Deutsche Forschungsgemeinschaft