Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery

Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery

Abstract Background Cardiopulmonary Exercise Testing (CPET) provides detailed insights into athletes’ cardiovascular and pulmonary function, making it a valuable tool in assessing recovery and injury risks. However, traditional statistical models often fail to leverage the full potential of CPET dat...

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Bibliographic Details
Main Authors: Arezoo Abasi, Ahmad Nazari, Azar Moezy, Seyed Ali Fatemi Aghda
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BioData Mining
Subjects:
Athlete recovery
Cardiopulmonary exercise testing
CPET
Injury prevention strategies
Machine learning
Reinjury risk prediction
Online Access:https://doi.org/10.1186/s13040-025-00431-2

Internet

https://doi.org/10.1186/s13040-025-00431-2

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