Machine learning models for predicting return to sports after anterior cruciate ligament reconstruct...
Machine learning models for predicting return to sports after anterior cruciate ligament reconstruction: Physical performance in early rehabilitation
About this item
Full title
Author / Creator
Publisher
London, England: SAGE Publications
Journal title
Language
English
Formats
Publication information
Publisher
London, England: SAGE Publications
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Scope and Contents
Contents
Objective
Return to sports (RTS) after anterior cruciate ligament reconstruction (ACLR) is a crucial surgical success measure. In this study, we aimed to identify the best-performing machine learning models for predicting RTS at 12 months post-ACLR, based on physical performance variables at 3 months post-ACLR.
Methods
This case-control st...
Alternative Titles
Full title
Machine learning models for predicting return to sports after anterior cruciate ligament reconstruction: Physical performance in early rehabilitation
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_74fdd0b17d5d47b7921f4f2f1c287ae5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_74fdd0b17d5d47b7921f4f2f1c287ae5
Other Identifiers
ISSN
2055-2076
E-ISSN
2055-2076
DOI
10.1177/20552076241299065
