Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach.

Journal: International journal of methods in psychiatric research
Published Date: Mar 1, 2018

Abstract

BACKGROUND: There are no consistent predictors of treatment outcome in paediatric obsessive-compulsive disorder (OCD). One reason for this might be the use of suboptimal statistical methodology. Machine learning is an approach to efficiently analyse complex data. Machine learning has been widely used within other fields, but has rarely been tested in the prediction of paediatric mental health treatment outcomes.

Authors

  • Fabian Lenhard
    Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Sebastian Sauer
    FOM University of Applied Sciences for Economics and Management, Essen, Germany.
  • Erik Andersson
    Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Kristoffer Nt Månsson
    Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • David Mataix-Cols
    Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Christian Rück
    Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Eva Serlachius
    Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

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