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

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 shift in thinking is required to account for the dynamic process of the various risk factors. Therefore, a machine learning approach will be used to comprehensively analyze biomechanical, biological, and loading parameters in order to identify risk factors and to detect risk patterns in runners.

Methods

The prospective longitudinal cohort study will include competitive adult athletes, running at least 20 km per week and being free of injuries three months before the start of the study. At b

SUBMITTER: Rahlf AL 

PROVIDER: S-EPMC9040327 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature