Integrating Machine Learning for Football Injury Prediction: A Concept for an Intelligent System

Abstract

In recent years, sports analytics has gained significant attention, particularly in the area of using machine learning techniques to analyze athlete performance and injury risks. This paper focuses on the use of machine learning for predicting injuries in football players and proposes a concept for an intelligent system that can provide early warnings of potential injuries. To achieve this, the proposed intelligent system will gather input from various sources such as athlete performance data, muscle strength assessments, and DNA markers. Using this information, the system will employ machine learning algorithms to identify patterns and predict the probability of injury occurrence. The intelligent system will offer coaches and medical staff actionable insights to help them take preventative measures and decrease the likelihood of injuries.