Predicting Groin Injury In Male Soccer Players Using Machine Learning And Multivariate Analysis. A Prospective Cohort Study

  1. Afxentios Kekelekis 1
  2. Kellis, Eleftherios 1
  3. Nikolaidis, Pantelis 2
  4. Rabiu Musa 3
  5. Clemente, Filipe 4
  1. 1 Aristotle University of Thessaloniki
    info

    Aristotle University of Thessaloniki

    Salónica, Grecia

    ROR https://ror.org/02j61yw88

  2. 2 School of Health and Caring Sciences, University of West Attica,
  3. 3 Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu
  4. 4 Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares
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Editor: Science Data Bank

Año de publicación: 2023

Tipo: Dataset

CC0 1.0

DOI: 10.57760/SCIENCEDB.13599 lock_openAcceso abierto editor

Resumen

Pre-season Maximal Isometric Strength of the hip adductors, abductors, flexors, and the knee flexors was measured using a handheld dynamometer and ratios were calculated. Previous injury history and anthropometric data were additionally registered