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Cardiac Function Predicts Oxygen Uptake During Exercise In Adolescent Athletes: A Machine Learning Model Study

dc.contributor.authorWilliams, CA
dc.contributor.authorGibson, F
dc.contributor.authorPieles, GE
dc.contributor.authorKelson, M
dc.contributor.authorFriedberg, MK
dc.contributor.authorStuart, GA
dc.contributor.authorDorobantu, D
dc.date.accessioned2024-09-26T12:49:33Z
dc.date.issued2024-10-01
dc.date.updated2024-09-26T10:34:00Z
dc.format.extent240
dc.identifier.citationVol. 56(10S), p. 240en_GB
dc.identifier.doihttps://doi.org/10.1249/01.mss.0001054628.50534.d2
dc.identifier.urihttp://hdl.handle.net/10871/137549
dc.identifierORCID: 0000-0002-1740-6248 (Williams, Craig A)
dc.identifierORCID: 0000-0001-7744-3780 (Kelson, Mark)
dc.language.isoenen_GB
dc.publisherLippincott, Williams & Wilkins / American College of Sports Medicine (ACSM)en_GB
dc.rights.embargoreasonUnder embargo until 1 October 2025 in compliance with publisher policyen_GB
dc.rights© 2024 by the American College of Sports Medicineen_GB
dc.titleCardiac Function Predicts Oxygen Uptake During Exercise In Adolescent Athletes: A Machine Learning Model Studyen_GB
dc.typeArticleen_GB
dc.date.available2024-09-26T12:49:33Z
dc.identifier.issn0195-9131
dc.descriptionThis is the author accepted manuscript, The final version is available from Lippincott, Williams & Wilkins via the DOI in this recorden_GB
dc.identifier.eissn1530-0315
dc.identifier.journalMedicine & Science in Sports & Exerciseen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2024-10-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-09-26T12:45:58Z
refterms.versionFCDAM
refterms.panelAen_GB


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