Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy

The study objective was to apply machine learning methodologies to identify predictors of remission in a longitudinal sample of 296 adults with a primary diagnosis of obsessive compulsive disorder (OCD). Random Forests is an ensemble machine learning algorithm that has been successfully applied to l...

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Detalhes bibliográficos
Publicado no:Int J Methods Psychiatr Res
Main Authors: Askland, Kathleen D., Garnaat, Sarah, Sibrava, Nicholas J., Boisseau, Christina L., Strong, David, Mancebo, Maria, Greenberg, Benjamin, Rasmussen, Steve, Eisen, Jane
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2015
Assuntos:
Original Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5466447/
https://ncbi.nlm.nih.gov/pubmed/25994109
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mpr.1463
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