How data science can advance mental health research

Russ, T.C., Woelbert, E., Davis, K.A.S. et al. (9 more authors) (2019) How data science can advance mental health research. Nature Human Behaviour, 3 (1). pp. 24-32.

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Russ, T.C.
  • Woelbert, E.
  • Davis, K.A.S.
  • Hafferty, J.D.
  • Ibrahim, Z.
  • Inkster, B.
  • John, A.
  • Lee, W.
  • Maxwell, M.
  • McIntosh, A.M.
  • Stewart, R.
  • MQ Data Science group, (The)
Copyright, Publisher and Additional Information:

© 2018 Springer Nature Limited. This is an author-produced version of a paper subsequently published in Nature Human Behaviour. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Data science; mental health; data mining
Dates:
  • Published: January 2019
  • Published (online): 10 December 2018
  • Accepted: 11 October 2018
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: 14 Dec 2021 11:48
Last Modified: 14 Dec 2021 11:48
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: 10.1038/s41562-018-0470-9
Related URLs:
Open Archives Initiative ID (OAI ID):

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