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Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers

Abstract Injury management is critical in all sports, directly impacting player performance. Baseball players are particularly susceptible to injuries, as players often compete in 5 to 7 games per week, placing continuous strain on their bodies. Among various injuries, Tommy John Surgery (TJS) poses...

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Principais autores: Bosuk Kang, Minsu Park, Angel P. del Pobil, Eunil Park
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2025-04-01
coleção:Journal of Big Data
Assuntos:
Injury prediction
Tommy John Surgery (TJS)
Bigdata
Baseball
Deep learning (DL)
Classification
Acesso em linha:https://doi.org/10.1186/s40537-025-01138-1
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