Prediction of pharmacological response in OCD using machine learning techniques and clinical and neuropsychological variables
The present study proves the viability to predict if a patient would respond or not to a certain pharmacological strategy with high reliability based on sociodemographics, clinical variables and cognitive functions as short-term memory and working memory. These results are promising to develop future prediction models to help clinical decision making.
Authors
- María Tubío-Fungueiriño (ORCID: https://orcid.org/0000-0002-8121-2472)
- Sara Bertolín (ORCID: https://orcid.org/0000-0003-1468-7862)
- Eva Real (ORCID: https://orcid.org/0000-0003-4523-1649)
- Montse Fernández‐Prieto (ORCID: https://orcid.org/0000-0003-3800-9476)
- Pablo Alonso González (ORCID: https://orcid.org/0000-0002-5964-0489)
- Manuel Arrojo (ORCID: https://orcid.org/0000-0002-5609-7134)
- Eva Cernadas (ORCID: https://orcid.org/0000-0002-1562-2553)
- Ãngel Carracedo (ORCID: https://orcid.org/0000-0003-1085-8986)
- José M. Menchón (ORCID: https://orcid.org/0000-0002-6231-6524)
- Manuel Fernández-Delgado (ORCID: https://orcid.org/0000-0001-5483-9424)
- Cinto Segalàs (ORCID: https://orcid.org/0000-0002-0959-0356)
Institutions
- Universidade de Santiago de Compostela (ES)
- Complejo Hospitalario Universitario de Santiago (ES)
- Center for Research in Molecular Medicine and Chronic Diseases (ES)
- Instituto de Investigación Sanitaria de Santiago (ES)
Publication Details
- Journal
- Spanish Journal of Psychiatry and Mental Health
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1016/j.sjpmh.2024.11.001
- Citations
- 5
- Primary Topic
- Obsessive-Compulsive Spectrum Disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.20
Funders
- Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia
- Instituto de Salud Carlos III