Relationship between a daily injury risk estimation feedback (I-REF) based on machine learning techniques and actual injury risk in athletics (track and field): protocol for a prospective cohort study over an athletics season

Pierre-Eddy Dandrieux,Laurent Navarro,David Blanco,Alexis Ruffault,Christophe Ley,Antoine Bruneau,Joris Chapon,Karsten Hollander,Pascal Edouard

doi:10.1136/bmjopen-2022-069423

Relationship between a daily injury risk estimation feedback (I-REF) based on machine learning techniques and actual injury risk in athletics (track and field): protocol for a prospective cohort study over an athletics season

Pierre-Eddy Dandrieux, Laurent Navarro + Show 7 more

Open Access

https://doi.org/10.1136/bmjopen-2022-069423

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Journal: BMJ Open	Publication Date: May 1, 2023
Citations: 6	License type: open-access

Affiliation: Mines Saint-Étienne, Jean Monnet University, Université Savoie Mont Blanc, Claude Bernard University Lyon 1, Inserm, Universitat Internacional de Catalunya, University of Liège, Institut National du Sport, de l'Expertise et de la Performance, University of Luxembourg, Medical School Hamburg, Centre Hospitalier Universitaire de Saint-Étienne

#Athletics Season #International Scientific Congresses + Show 8 more

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Abstract

IntroductionTwo-thirds of athletes (65%) have at least one injury complaint leading to participation restriction (ICPR) in athletics (track and field) during one season. The emerging practice of medicine and public...

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