A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes
Background: The running segment of a triathlon produces 70% of the lower limb injuries. Previous research has shown a clear association between kinematic patterns and specific injuries during running. Methods: After completing a seven-month gait retraining program, a questionnaire was used to assess...
| Autors principals: | , , , , , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
MDPI AG
2020-11-01
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| Col·lecció: | Sensors |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1424-8220/20/21/6388 |