Comparing three neural networks to predict depression treatment outcomes in psychological therapies.

Journal: Behaviour research and therapy
Published Date:

Abstract

OBJECTIVE: Artificial neural networks have been used in various fields to solve classification and prediction tasks. However, it is unclear if these may be adequate methods to predict psychological treatment outcomes. This study aimed to evaluate the prognostic accuracy of neural networks using psychological treatment outcomes data.

Authors

  • Brian Schwartz
    University of Trier, Germany.
  • Julia Giesemann
    Department of Psychology, University of Trier, Trier, Germany.
  • Jaime Delgadillo
    Clinical Psychology Unit, Department of Psychology, University of Sheffield.
  • Jana Schaffrath
    Trier University, Trier, Germany.
  • Miriam I Hehlmann
    Klinische Psychologie und Psychotherapie, Fachbereich I - Psychologie, Universität Trier.
  • Danilo Moggia
    Trier University, Trier, Germany.
  • Christopher Baumann
    Department of Psychology, Trier University, Germany. Electronic address: hello@christopher-baumann.de.
  • Wolfgang Lutz
    Department of Psychology, University of Trier, Trier, Germany.