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Predicting Outcome of Combined CBT and SSRI Treatment for Social Anxiety Disorder Using a Machine Learning Approach
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
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2014 (English)In: Biological Psychiatry, ISSN 0006-3223, E-ISSN 1873-2402, Vol. 75, no 9, p. 357S-357SArticle in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
2014. Vol. 75, no 9, p. 357S-357S
Keywords [en]
social anxiety disorder, treatment, support vector machine, prediction, SSRI
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Neurosciences Psychiatry
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URN: urn:nbn:se:uu:diva-228223ISI: 000334101802256OAI: oai:DiVA.org:uu-228223DiVA, id: diva2:733628
Conference
69th Annual Scientific Convention and Meeting of the Society-of-Biological-Psychiatry, 2014, New York, NY
Available from: 2014-07-10 Created: 2014-07-08 Last updated: 2018-01-11Bibliographically approved

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Frick, AndreasEngman, JonasAlaie, ImanBjörkstrand, JohannesGingnell, MalinLarsson, Elna-MarieMorell, ArvidFredrikson, MatsFurmark, Tomas
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