Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) d...
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
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 data in predicting reinjury. Machine learning (ML) algorithms offer promi...
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Full title
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery
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TN_cdi_doaj_primary_oai_doaj_org_article_d20be6f658894ebf9018c5e3840557a3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d20be6f658894ebf9018c5e3840557a3
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ISSN
1756-0381
E-ISSN
1756-0381
DOI
10.1186/s13040-025-00431-2
