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 s...
Saved in:
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: | Book |
Published: |
BMC,
2022-04-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Biomechanics and Sports Medicine
by: Hoenig T, et al.
Published: (2020) -
Muskuloskeletal Medicines
by: Hoenig T, et al.
Published: (2023) -
Epidemiology of injuries and illnesses in elite wheelchair basketball players over a whole season - a prospective cohort study
by: Moritz Weith, et al.
Published: (2023) -
Bone stress injuries in athletics (track and field) championships: findings from a prospective injury surveillance conducted across 24 international championships with 29,147 registered athletes
by: Tim Hoenig, et al.
Published: (2024) -
Aetiological Factors of Running-Related Injuries: A 12 Month Prospective "Running Injury Surveillance Centre" (RISC) Study
by: Aoife Burke, et al.
Published: (2023)