青少年足球运动员运动损伤预测模型的设计研究  

Design and Study of Sports Injury Prediction Model for Young Soccer Players

作　　者：马国帅[1] MA Guo-shuai(Xinjiang Institute of Engineering,Urumchi,Xinjiang 830000 China)

机构地区：[1]新疆工程学院,新疆乌鲁木齐830000

出　　处：《自动化技术与应用》2018年第7期141-144,共4页Techniques of Automation and Applications

摘　　要：由于运动损伤可能导致青少年足球运动员的训练水平下降以及导致足球培训机构巨大的成本压力,因此对运动损伤进行准确预测对青少年足球运动的健康发展具有的重要意义。基于某足球学习的运动损伤实验研究提出了一种基于决策树分类器的机器学习方法的数据驱动的运动损伤预测方法。该预测方法基于充分的运动数据收集,基于关键运动负荷特征属性对未来一个训练周期的运动损伤风险进行预测。通过实验表面,提出的方法能够对接近50%的运动损伤做出准确预测,可以为青少年教练提供有价值的支持,帮助减少青少年足球运动员的伤病发生。As the sports injury may lead to the decrease of the training level of young soccer players and the enormous cost pressure of football training organizations,accurate prediction of sports injuries is of great significance to the healthy development of young soccer games.Experimental study on sports injury based on football learning a data-driven motion impairment prediction method based on the machine learning method of decision tree classifier is proposed.The prediction method is based on adequate exercise data collection to predict the risk of sports injury for a training cycle in the future based on the key exercise load profile attributes.Through the experimental surface,the proposed method can make accurate prediction of nearly 50%of sports injuries,which can provide valuable support for young coaches and help to reduce the injuries of juvenile football players.

关 键 词：运动损伤 预测模型 决策树 运动负荷 青少年足球运动 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]