Machine learning approach for predicting injury in soccer from external and internal training loads - Archive ouverte HAL
Poster Communications Year : 2019

Machine learning approach for predicting injury in soccer from external and internal training loads

Emmanuel Vallance
Nicolas Sutton-Charani
Laboratoire de Génie Informatique et Ingénierie de Production
CV
Abdelhak Imoussaten
Laboratoire de Génie Informatique et Ingénierie de Production
CV
Jacky Montmain
Laboratoire de Génie Informatique et Ingénierie de Production
CV
Stéphane Perrey
Euromov
CV

Domains

Artificial Intelligence [cs.AI] Tissues and Organs [q-bio.TO]
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Abdelhak Imoussaten  : Connect in order to contact the contributor

https://hal.science/hal-02416517

Submitted on : Tuesday, December 5, 2023-6:51:52 PM

Last modification on : Tuesday, September 17, 2024-4:03:16 PM

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Dates and versions

hal-02416517 , version 1 (05-12-2023)

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  • HAL Id : hal-02416517 , version 1

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Emmanuel Vallance, Nicolas Sutton-Charani, Abdelhak Imoussaten, Jacky Montmain, Stéphane Perrey. Machine learning approach for predicting injury in soccer from external and internal training loads. ACAPS 2019 - 18th Congress of the ACAPS in Paris, from the 29 - 31 October,, Oct 2019, Paris, France. 2019. ⟨hal-02416517⟩

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EM-ALES BS UNIV-MONTPELLIER INSTITUT-MINES-TELECOM
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