A Data Mining Approach to Predict Non-Contact Injuries in Young Soccer Players
By: M. Mandorino, A.J. Figueiredo, G. Cima and A. Tessitore
Authors
M. Mandorino
Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy
A.J. Figueiredo
University of Coimbra, Research Center for Sport and Physical Activity, Faculty of Sport Science and Physical Education, Coimbra, Portugal
G. Cima
Computer, Control and Management Engineering Department, Sapienza University of Rome, Rome, Italy
A. Tessitore
Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy
DOI: https://doi.org/10.2478/ijcss-2021-0009 | Journal eISSN: 1684-4769
Language: English
Page range: 147 - 163
Published on: Nov 28, 2021
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
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© 2021 M. Mandorino, A.J. Figueiredo, G. Cima, A. Tessitore, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.