Predicting Injury and Illness with Machine Learning in Elite Youth Soccer: A Comprehensive Monitoring Approach over 3 Months.

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第一作者： Nils,Haller

第一单位： Department of Sport and Exercise Science, University of Salzburg, Salzburg, Austria.;Department of Sports Medicine, Rehabilitation and Disease Prevention, University of Mainz, Mainz, Germany.

作者： Nils,Haller ^[1] ; Stefan,Kranzinger ^[2] ; Christina,Kranzinger ^[2] ; Julia C,Blumkaitis ^[3] ; Tilmann,Strepp ^[3] ; Perikles,Simon ^[4] ; Aleksandar,Tomaskovic ^[4] ; James,O'Brien ^[5] ; Manfred,Düring ^[5] ; Thomas,Stöggl ^[6]

作者单位： Department of Sport and Exercise Science, University of Salzburg, Salzburg, Austria.;Department of Sports Medicine, Rehabilitation and Disease Prevention, University of Mainz, Mainz, Germany. ^[1] Salzburg Research Forschungsgesellschaft m.b.H, Salzburg, Austria. ^[2] Department of Sport and Exercise Science, University of Salzburg, Salzburg, Austria. ^[3] Department of Sports Medicine, Rehabilitation and Disease Prevention, University of Mainz, Mainz, Germany. ^[4] Red Bull Athlete Performance Center, Salzburg, Austria. ^[5] Department of Sport and Exercise Science, University of Salzburg, Salzburg, Austria.;Red Bull Athlete Performance Center, Salzburg, Austria. ^[6]

关键词 Football artificial intelligence injury prevention load management load monitoring

主题词人类(Humans);青少年(Adolescent);足球(Soccer);身体素质(Physical Fitness)

DOI 10.52082/jssm.2023.476

PMID 37711721

发布时间 2023-09-19

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