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Prediction of pharmacological response in OCD using machine learning techniques and clinical and neuropsychological variables
Maria Tubío-Fungueiriñoa,b,c, Eva Cernadasd,1, Manuel Fernández-Delgadod, Manuel Arrojoe, Sara Bertolinf,g,h, Eva Realf,g,h, José Manuel Menchonf,g,h,i, Angel Carracedoa,c,j,k, Pino Alonsof,g,h,i, Montse Fernández-Prietoa,b,c,j,2,
Corresponding author
montse.fernandez.prieto@usc.es

Corresponding author.
, Cinto Segalàsf,g,h,i
a Genomics and Bioinformatics Group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidade de Santiago de Compostela (USC), Santiago de Compostela, Spain
b Fundación Pública Galega Instituto de Investigación Sanitaria de Santiago de Compostela (FIDIS), Santiago de Compostela, Spain
c Genetics Group, Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
d Centro Singular de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS), Universidade de Santiago de Compostela (USC), Santiago de Compostela, Spain
e Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain
f OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain
g Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
h CIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain
i Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain
j Centro de Investigación Biomédica en Red de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain
k Fundación Pública Galega de Medicina Xenómica, Servicio Galego de Saúde (SERGAS), Santiago de Compostela, Spain
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ISSN: 29502853
Original language: English
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