Dynamic prediction and identification of cases at risk of relapse following completion of low-intensity cognitive behavioural therapy

Lorimer, B., Delgadillo, J. orcid.org/0000-0001-5349-230X, Kellett, S. et al. (1 more author) (2020) Dynamic prediction and identification of cases at risk of relapse following completion of low-intensity cognitive behavioural therapy. Psychotherapy Research. ISSN 1050-3307

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Society for Psychotherapy Research. This is an author-produced version of a paper subsequently published in Psychotherapy Research. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: depression; anxiety; relapse; machine learning; cognitive behavior therapy
Dates:
  • Accepted: 17 February 2020
  • Published (online): 1 March 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 19 Feb 2020 11:46
Last Modified: 12 Mar 2020 11:33
Status: Published online
Publisher: Taylor & Francis
Refereed: Yes
Identification Number: https://doi.org/10.1080/10503307.2020.1733127

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