Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach
IntroductionThe study aims to assess and compare the predictive effectiveness of football-related injuries using external load data and a decision tree classification algorithm by unidimensional approach.MethodsThe sample consisted of 25 players from one of the 16 teams participating in the Persian...
Saved in:
Main Authors: | Reza Saberisani, Amir Hossein Barati, Mostafa Zarei, Paulo Santos, Armin Gorouhi, Luca Paolo Ardigò, Hadi Nobari |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Sports and Active Living |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fspor.2025.1425180/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effectiveness of Malaysia football DNA application on the performance of players under 16 years
by: Hadi Syahmi Hamzah, et al.
Published: (2025-02-01) -
My life in football : the autobiography /
by: Keegan, Kevin
Published: (2018) -
The Content and Game Action Weight of Senior Football Players as Goalkeeper
by: A. Dinca, et al.
Published: (2024-12-01) -
Effect of body composition on fitness performance in young male football players
by: Huseyin Husrev Turnagol, et al.
Published: (2017-04-01) -
Mental Toughness Levels of Male and Female Football Players
by: Alpaslan Kartal, et al.
Published: (2023-04-01)