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Thesis

Towards automated symptoms assessment in mental health

Abstract:

Mental and behavioural disorders introduce a significant burden on society, estimated to account for 12% of the global burden of disease, with approximately 450 million suffering from them every day, and only a small number of those getting any treatment. The situation will worsen with time, with unipolar depressive disorders predicted by the World Health Organisation to become the leading cause of disabilities by 2030.

Mental disorders affect primarily the mind and the brain, leadi...

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Division:
MPLS
Department:
Engineering Science
Department:
University of Oxford
Role:
Author

Contributors

Department:
Emory University
Role:
Supervisor
Department:
University of Oxford
Role:
Supervisor
Department:
University of Oxford
Role:
Examiner
Department:
Kings College London
Role:
Examiner
Hill Foundation Scholarship More from this funder
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Grant:
EP/G036861/1
More from this funder
Grant:
EP/K020161/1
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:42111684-8801-440e-8fbb-00f779d806ee
Deposit date:
2017-02-14

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