B0763
Title: Identification of injury risk factors for professional football players: A multivariate survival tree approach
Authors: Jone Renteria - BCAM - Basque Center for Applied Mathematics (Spain) [presenting]
Lore Zumeta-Olaskoaga - BCAM - Basque Center for Applied Mathematics (Spain)
Eder Bikandi - Athletic Club Medical Services (Spain)
Jon Larruskain - Athletic Club Medical Services (Spain)
Dae-Jin Lee - School of Science and Technology - IE University (Spain)
Abstract: The objective is to identify major risk factors associated with lower limb non-contact injuries in football players. The selected population is composed of professional female and male players from a Spanish Club across multiple seasons. Firstly, longitudinal data is collected for each player, including their exposure time on the field, medical injury history (type of injury, number of previous injuries, and days missed due to previous injuries), and periodic screening tests. These latter medical examinations are primarily conducted during the preseason period and provide a general overview of the players' functional and strength parameters in their lower extremities. Once all the data is collected and curated, the multivariate survival tree (MST) approach is applied, which aims to produce easily interpretable trees that are useful in the daily operations of a football club's medical team. This analysis can inform physiotherapists and personal trainers in designing individualized training sessions to maximize performance and minimize the athletes' injury risk.
