Association between the use of daily injury risk estimation feedback (I-REF) based on machine learning techniques and injuries in athletics (track and field): results of a prospective cohort study over an athletics season

Daily injury risk estimation feedback using machine learning was not associated with reducing injury burden.

Authors

Spyridon Iatropoulos (ORCID: https://orcid.org/0000-0003-3381-2403)
Antoine Bruneau (ORCID: https://orcid.org/0000-0002-2031-378X)
Pierre‐Eddy Dandrieux (ORCID: https://orcid.org/0000-0001-7230-6728)
Joris Chapon (ORCID: https://orcid.org/0009-0004-0640-4185)
Alexis Ruffault (ORCID: https://orcid.org/0000-0001-6610-4169)
Pascal Édouard (ORCID: https://orcid.org/0000-0003-1969-3612)
Karsten Hollander (ORCID: https://orcid.org/0000-0002-5682-9665)
Christophe Ley (ORCID: https://orcid.org/0000-0002-2290-8437)
David Blanco (ORCID: https://orcid.org/0000-0003-2961-9328)
Laurent Navarro (ORCID: https://orcid.org/0000-0002-8788-8027)

Université Claude Bernard Lyon 1 (FR)
University of Luxembourg (LU)
Mines Saint-Étienne (FR)
Universitat Internacional de Catalunya (ES)
MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE)
Laboratoire Interuniversitaire de Biologie de la Motricité (FR)
Centre Hospitalier Universitaire de Saint-Étienne (FR)
Institut National du Sport, de l'Expertise et de la Performance (FR)
Université Savoie Mont Blanc (FR)
Université Jean Monnet (FR)