Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach

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...

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Bibliographic Details
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:
injury prediction
training load
GPS
football
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fspor.2025.1425180/full
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https://www.frontiersin.org/articles/10.3389/fspor.2025.1425180/full

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