Research Musculo - skeletal
Research highlights
Stylianos Kampakis PhD Student Predictive modeling of football injuries thesis
PhD Experiments/Investigations: Predicting the recovery time after a football injury using the UEFA injury records
Using exposure records for predicting injuries in professional football
Predicting intrinsic injury incidence based on GPS-collected variables
Sports analytics
Grants / external funding awarded
PhD funded by Tottenham Hotspur FC, PGA (European) Golf, UCL/ISEH
Publications
Stylianos Kampakis (2014), Comparison of machine learning methods for predicting the recovery time of professional football players after an undiagnosed injury, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2013), Workshop in Sports Analytics
Stylianos Kampakis, Ioannis Kosmidis, Wayne Diesel, Ed Leng (2014), A supervised PCA logistic regression model for predicting fatigue-related injuries using training GPS data, Mathsports International 2014
“The ISEH offers a unique interface between the world of sports medicine and computer science, and preliminary work has already shown fascinating patterns especially in injury prediction.”
22 ISEH ANNUAL REPORT 2014 / 2015
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