文章基本信息

标题：A Narrative Review for a Machine Learning Application in Sports: An Example Based on Injury Forecasting in Soccer
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作者：Alessio Rossi ; Luca Pappalardo ; Paolo Cintia 等
期刊名称：Sports
电子版ISSN：2075-4663
出版年度：2022
卷号：10
期号：1
DOI：10.3390/sports10010005
语种：English
出版社：MDPI Publishing
摘要：In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly increased. Due to the number of works and experiments already present in the state-of-the-art regarding machine-learning techniques in sport science, the aim of this narrative review is to provide a guideline describing a correct approach for training, validating, and testing machine learning models to predict events in sports science. The main contribution of this narrative review is to highlight any possible strengths and limitations during all the stages of model development, i.e., training, validation, testing, and interpretation, in order to limit possible errors that could induce misleading results. In particular, this paper shows an example about injury forecaster that provides a description of all the features that could be used to predict injuries, all the possible pre-processing approaches for time series analysis, how to correctly split the dataset to train and test the predictive models, and the importance to explain the decision-making approach of the white and black box models.
关键词：ensoccerartificial intelligencesport sciencetraining and testing