Predicting persistent depressive symptoms in older adults : a machine learning approach to personalised mental healthcare

Hatton, Chris, Paton, Lewis William orcid.org/0000-0002-3328-5634, McMillan, Dean orcid.org/0000-0002-2901-8410 et al. (3 more authors) (2019) Predicting persistent depressive symptoms in older adults : a machine learning approach to personalised mental healthcare. Journal of affective disorders. pp. 857-860. ISSN 0165-0327

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Copyright, Publisher and Additional Information: © 2018 Elsevier B.V. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Keywords: Depression,Machine Learning,Old age mental health
Dates:
  • Published (online): 1 March 2019
  • Published: 1 March 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Health Sciences (York)
The University of York > Faculty of Sciences (York) > Hull York Medical School (York)
Depositing User: Pure (York)
Date Deposited: 09 Jan 2019 16:20
Last Modified: 07 Nov 2021 11:24
Published Version: https://doi.org/10.1016/j.jad.2018.12.095
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jad.2018.12.095

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