Integrating exploration and prediction in computational psychotherapy science: proof of concept.

Journal: Frontiers in psychiatry
Published Date:

Abstract

INTRODUCTION: Psychotherapy research has long preferred explanatory over predictive models. As a result, psychotherapy research is currently limited in the variability that can be accounted for in the process and outcome of treatment. The present study is a proof-of-concept approach to psychotherapy science that uses a datadriven approach to achieve robust predictions of the process and outcome of treatment.

Authors

  • Hadar Fisher
    Department of Psychology, University of Haifa, Haifa, Israel.
  • Suzannah J Stone
    Department of Psychology, Ohio University, Athens, OH, United States.
  • Sigal Zilcha-Mano
    Department of Psychology, University of Haifa, Haifa, Israel.
  • Pavel Goldstein
    Integrative Pain Laboratory (iPainLab), School of Public Health, University of Haifa, Haifa, Israel.
  • Timothy Anderson
    Department of Psychology, Ohio University, Athens, OH, United States.

Keywords

No keywords available for this article.