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Hamstring Strain Injury Risk in Soccer: An Exploratory, Hypothesis-Generating Prediction Model

Hamstring strain injuries (HSI) are common in soccer and remain challenging to predict, as traditional risk factors often fail to capture the multifactorial nature of injury susceptibility. This prospective cohort study aimed to develop and internally validate a machine learning-assisted logistic re...

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Autori principali: Afxentios Kekelekis, Rabiu Muazu Musa, Pantelis T. Nikolaidis, Filipe Manuel Clemente, Eleftherios Kellis
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-11-01
Serie:Muscles
Soggetti:
hamstring injury
prediction model
logistic regression with elastic-net penalty model
machine learning
TRIPOD
soccer
Accesso online:https://www.mdpi.com/2813-0413/4/4/50
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