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Development and validation of a machine learning model for non-contact injury prediction based on lower limb strength asymmetry in professional football

Crossref DOI link: https://doi.org/10.1038/s41598-025-34468-4

Published Online: 2026-01-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Yongzhen

Lee, Seongno
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Text and Data Mining valid from 2026-01-09

Version of Record valid from 2026-02-02
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Article History

Received: 14 August 2025

Accepted: 29 December 2025

First Online: 9 January 2026

Declarations

:

: This study was approved by the Institutional Review Board of Hanyang University. All procedures were conducted in accordance with the ethical standards of Hanyang University and the principles of the Declaration of Helsinki. All participants were informed about the purpose and procedures of the study, and written informed consent was obtained prior to participation.

: All participants provided consent for their data to be used in this publication.

: The authors declare no competing interests.

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