Relationship between external and internal load indicators and injury using machine learning in professional soccer: a systematic review and meta-analysis

Author:

Pillitteri Guglielmo12,Petrigna Luca3,Ficarra Salvatore12,Giustino Valerio1ORCID,Thomas Ewan1,Rossi Alessio4,Clemente Filipe Manuel567ORCID,Paoli Antonio8,Petrucci Marco9,Bellafiore Marianna1,Palma Antonio110,Battaglia Giuseppe110

Affiliation:

1. Sport and Exercise Sciences Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Palermo, Italy

2. Program in Health Promotion and Cognitive Sciences, University of Palermo, Palermo, Italy

3. Department of Biomedical and Biotechnological Sciences, Human Anatomy and Histology Section, School of Medicine, University of Catania, Catania, Italy

4. Department of Computer Science, University of Pisa, Pisa, Italy

5. Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, Viana do Castelo, Portugal

6. Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), Melgaço, Portugal

7. Gdansk University of Physical Education and Sport, Gdańsk, Poland

8. Department of Biomedical Sciences, University of Padova, Padova, Italy

9. Football Club Palermo, Palermo, Italy

10. Regional Sports School of CONI Sicilia, Palermo, Italy

Funder

No grant aid was received

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

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