A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes

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...

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Dettagli Bibliografici
Autori principali:	Javier Martínez-Gramage, Juan Pardo Albiach, Iván Nacher Moltó, Juan José Amer-Cuenca, Vanessa Huesa Moreno, Eva Segura-Ortí
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2020-11-01
Serie:	Sensors
Soggetti:	running kinematics gait retraining
Accesso online:	https://www.mdpi.com/1424-8220/20/21/6388

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