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Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.
NPJ Digit Med. 2020 Jul 9;3:93. doi: 10.1038/s41746-020-0303-x. eCollection 2020.
NPJ Digit Med. 2020.
PMID: 32665978
Free PMC article.
Review.
Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.
Tagliaferri SD, Wilkin T, Angelova M, Fitzgibbon BM, Owen PJ, Miller CT, Belavy DL.
Tagliaferri SD, et al. Among authors: wilkin t.
Sci Rep. 2022 Sep 7;12(1):15194. doi: 10.1038/s41598-022-19542-5.
Sci Rep. 2022.
PMID: 36071092
Free PMC article.
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Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study.
Tagliaferri SD, Owen PJ, Miller CT, Angelova M, Fitzgibbon BM, Wilkin T, Masse-Alarie H, Van Oosterwijck J, Trudel G, Connell D, Taylor A, Belavy DL.
Tagliaferri SD, et al. Among authors: wilkin t.
Sci Rep. 2023 Aug 12;13(1):13112. doi: 10.1038/s41598-023-40245-y.
Sci Rep. 2023.
PMID: 37573418
Free PMC article.
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