Injury Prediction in Elite Ice Hockey using Machine Learning

Injury Prediction in Elite Ice Hockey using Machine Learning

Sport clubs are always searching for innovative ways to improve performance and obtain a competitive edge. Sports analytics today is focused primarily on evaluating metrics thought to be directly tied to performance. Injuries indirectly decrease performance and cost substantially in terms of wasted...

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Bibliographic Details
Main Authors: Staberg, Pontus, Häglund, Emil, Claesson, Jakob
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2018
Subjects:
Sports analytics
computer science
machine learn- ing
ice hockey
non-contact injuries
predictive analytics
support vector machine
random forest
SHL
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235959

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