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How data science can advance mental health research

Lookup NU author(s): Dr Thomas Foley

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Abstract

© 2018, Springer Nature Limited. Accessibility of powerful computers and availability of so-called big data from a variety of sources means that data science approaches are becoming pervasive. However, their application in mental health research is often considered to be at an earlier stage than in other areas despite the complexity of mental health and illness making such a sophisticated approach particularly suitable. In this Perspective, we discuss current and potential applications of data science in mental health research using the UK Clinical Research Collaboration classification: underpinning research; aetiology; detection and diagnosis; treatment development; treatment evaluation; disease management; and health services research. We demonstrate that data science is already being widely applied in mental health research, but there is much more to be done now and in the future. The possibilities for data science in mental health research are substantial.

Publication metadata

Author(s): Russ TC, Davis KAS, Ibrahim Z, John A, Lee W, Maxwell M, McIntosh AM, Stewart R, Anderson M, Aylett K, Bourke S, Burhouse A, Callard F, Chapman K, Cowley M, Cusack J, Davis KAS, Delgadillo J, Dix S, Dobson R, Donohoe G, Dougall N, Downs J, Fisher H, Folarin A, Foley T, Geddes J, Globerman J, Hafferty JD, Hafferty JD, Hassan L, Hayes J, Hodges H, Ibrahim Z, Inkster B, Inkster B, Jacob E, Jacobs R, John A, Joyce C, Kaur S, Kerz M, Kirkbride J, Leavey G, Lewis G, Lloyd K, Matcham W, Maxwell M, McCloskey E, McIntosh AM, McQuillin A, Delgado TN, Newsome C, Nicodemus K, Porteous D, Ray D, Russ TC, Sanhu S, Smith D, Stewart R, Tutu L, Ullah A, Vance B, Woelbert E, Woelbert E, Wolpert M, Wyse C, Zammit S

Publication type: Article

Publication status: Published

Journal: Nature Human Behaviour

Year: 2018

Volume: 3

Issue: 1

Pages: 24-32

Print publication date: 01/01/2019

Online publication date: 10/12/2018

Acceptance date: 11/10/2018

ISSN (electronic): 2397-3374

Publisher: Nature Publishing Group

URL: https://doi.org/10.1038/s41562-018-0470-9

DOI: 10.1038/s41562-018-0470-9

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