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Get Free AccessMachine learning models based on clinical data may thus hold promise in predicting remission after CBT for OCD, but the predictive power of multicenter rs-fMRI data is limited.
Laurens A. van de Mortel, Willem B. Bruin, Pino Alonso, Sara Bertolín, Jamie D. Feusner, Joyce Guo, Kristen Hagen, Bjarne Hansen, Anders Lillevik Thorsen, Ignacio Martínez‐Zalacaín, José M. Menchón, Erika L. Nurmi, Joseph O’Neill, John Piacentini, Eva Real, Cinto Segalàs, Carles Soriano-Mas, Sophia I. Thomopoulos, Dan Joseph Stein, Paul M. Thompson, Odile A. van den Heuvel, Guido van Wingen (2025). Development and validation of a machine learning model to predict cognitive behavioral therapy outcome in obsessive-compulsive disorder using clinical and neuroimaging data. , 389, DOI: https://doi.org/10.1016/j.jad.2025.119729.
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Type
Article
Year
2025
Authors
22
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1016/j.jad.2025.119729
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