Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52894
Title: Training load prior to injury in professional rugby league players: Insights from machine learning
Contributor(s): Cummins, Cloe  (author)orcid ; Welch, Mitchell  (author)orcid ; Charlton, Glen  (author); Inkster, Brendan (author); Shorter, Kathleen  (author)orcid ; Jones, Ben  (author); Murphy, Aron  (author)
Publication Date: 2019-06
Handle Link: https://hdl.handle.net/1959.11/52894
Publication Type: Conference Publication
Conference Details: WCSMF 2019: World Congress of Science and Medicine in Football, Melbourne, Australia, 4th - 7th June, 2019
Source of Publication: 9th World Congress on Sciene & Football, p. 7-7
Publisher: World Congress of Science and Medicine in Football
Place of Publication: Melbourne, Australia
Fields of Research (FoR) 2020: 460102 Applications in health
420799 Sports science and exercise not elsewhere classified
Socio-Economic Objective (SEO) 2020: 130602 Organised sports
200408 Injury prevention and control
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Publisher/associated links: https://web.archive.org/web/20190309142636/https://www.wcsf2019.com.au/
Description: Paper presented by Cloe Cummins
Appears in Collections:Conference Publication
School of Science and Technology

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