Biology of Sport
1/2023 vol. 40
Artykuł przeglądowy

Machine learning application in soccer: a systematic review

Markel Rico-González 1
,
José Pino-Ortega 2, 3
,
Amaia Méndez 4
,
Filipe Manuel Clemente 5, 6
,
Arnold Baca 7
  1. Department of Didactics of Musical, Plastic and Corporal Expression, University of the Basque Country, UPV-EHU. Leioa, Spain
  2. BIOVETMED & SPORTSCI Research group. University of Murcia, San Javier. España
  3. Faculty of Sports Sciences. University of Murcia, San Javier. Spain
  4. Department of mechanics, design and industrial management, Faculty of engineering, University of Deusto, Bilbao, Spain
  5. Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
  6. Instituto de Telecomunicações, Delegação da Covilhã, Lisboa 1049-001, Portugal
  7. Centre for Sport Science and University Sports, University of Vienna, Austria
Biol Sport. 2023;40(1):249–263
DOI: https://doi.org/10.5114/biolsport.2023.112970
Data publikacji online: 2022/03/16
Plik artykułu
21_02572_Article_c.pdf
Confronting perimenopausal women’s knowledge of coronary heart disease with their health behaviours. Controversial role of hormone replacement therapy in the protection of coronary heart disease
Copyright: Institute of Sport. This is an Open Access article distributed under the terms of the Creative Commons CC BY License (https://creativecommons.org/licenses/by/4.0/). This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
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