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

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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Bibliographic Details
Main Authors: Bosuk Kang, Minsu Park, Angel P. del Pobil, Eunil Park
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Journal of Big Data
Subjects:
Injury prediction
Tommy John Surgery (TJS)
Bigdata
Baseball
Deep learning (DL)
Classification
Online Access:https://doi.org/10.1186/s40537-025-01138-1
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https://doi.org/10.1186/s40537-025-01138-1

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