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How data science can advance mental health research

Russ, TC; Woelbert, E; Davis, KAS; Hafferty, JD; Ibrahim, Z; Inkster, B; John, A; ... Zammit, S; + view all (2019) How data science can advance mental health research. Nature Human Behaviour , 3 pp. 24-32. 10.1038/s41562-018-0470-9.

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Abstract

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.

Type: Article
Title: How data science can advance mental health research
DOI: 10.1038/s41562-018-0470-9
Publisher version: https://doi.org/10.1038/s41562-018-0470-9
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
URI: http://discovery.ucl.ac.uk/id/eprint/10065480
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