A machine learning approach to identify stride characteristics predictive of musculoskeletal injury, enforced rest and retirement in Thoroughbred racehorses.

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Title: A machine learning approach to identify stride characteristics predictive of musculoskeletal injury, enforced rest and retirement in Thoroughbred racehorses.
Authors: Bogossian, Paulo M.1,2 (AUTHOR), Nattala, Usha3 (AUTHOR), Wong, Adelene S. M.2 (AUTHOR), Morrice-West, Ashleigh V.2 (AUTHOR), Zhang, Geordie Z.3 (AUTHOR), Rana, Pratibha3 (AUTHOR), Whitton, R. Chris2 (AUTHOR), Hitchens, Peta L.2 (AUTHOR) peta.hitchens@unimelb.edu.au
Source: Scientific Reports. 11/22/2024, Vol. 14 Issue 1, p1-13. 13p.
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  Data: A machine learning approach to identify stride characteristics predictive of musculoskeletal injury, enforced rest and retirement in Thoroughbred racehorses.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/22/2024, Vol. 14 Issue 1, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181066039
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        Value: 10.1038/s41598-024-79071-1
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              Text: 11/22/2024
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