A machine learning approach to identify risk factors for running-related injuries: study protocol for a prospective longitudinal cohort trial

• Main Authors: A. L. Rahlf (Author), T. Hoenig (Author), J. Stürznickel (Author), K. Cremans (Author), D. Fohrmann (Author), A. Sanchez-Alvarado (Author), T. Rolvien (Author), K. Hollander (Author)
• Format: Knjiga
• Izdano: BMC, 2022-04-01T00:00:00Z.
• Teme: article
• Online dostop: Connect to this object online.

Abstract Background Running is a very popular sport among both recreational and competitive athletes. However, participating in running is associated with a comparably high risk of sustaining an exercise-related injury. Due to the often multifactorial and individual reasons for running injuries, a s...