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Towards data-driven biopsychosocial classification of non-specific chronic low back pain

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thesis
posted on 2024-11-08, 04:59 authored by Scott David Tagliaferri
This thesis investigated the role of artificial intelligence to personalise management of persisting low back pain. The findings of this thesis demonstrated that the data-driven approach could be used to accurately identify treatment targets. This thesis lays the foundation for reliable person-centred management of persisting low back pain.

History

Pagination

368 p.

Open access

  • Yes

Language

eng

Degree type

Doctorate

Degree name

Ph.D.

Copyright notice

All rights reserved

Editor/Contributor(s)

Clint Miller, Patrick Owen, Daniel Belavy, Bernadette Fitzgibbon, Steve Bowe, Maia Angelova, Tim Wilkin

Faculty

Faculty of Health

School

School of Exercise and Nutrition Sciences

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