Open Access

A Data Mining Approach to Predict Non-Contact Injuries in Young Soccer Players

M. Mandorino

M. Mandorino

Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”Rome, Italy
Search for this author on
Sciendo|Google Scholar
Mandorino, M.
, 
A.J. Figueiredo

A.J. Figueiredo

University of Coimbra, Research Center for Sport and Physical Activity, Faculty of Sport Science and Physical EducationCoimbra, Portugal
Search for this author on
Sciendo|Google Scholar
Figueiredo, A.J.
, 
G. Cima

G. Cima

Computer, Control and Management Engineering Department, Sapienza University of RomeRome, Italy
Search for this author on
Sciendo|Google Scholar
Cima, G.
 and 
A. Tessitore

A. Tessitore

Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”Rome, Italy
Search for this author on
Sciendo|Google Scholar
Tessitore, A.
  
Nov 28, 2021
A Data Mining Approach to Predict Non-Contact Injuries in Young Soccer Players's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Nov 28, 2021
Page range: 147 - 163
DOI: https://doi.org/10.2478/ijcss-2021-0009
Keywords
© 2021 M. Mandorino et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Computer Sciences, Databases and Data Mining, Computer Sciences, other, Sports and Recreation, Physical Education, Sports and Recreation, other
Journal RSS Feed