The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning-Reference-Cited by-同舟云学术

The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning

Published:2024-07-18 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Kurtoğlu Ahmet,Eken Özgür,Çiftçi Rukiye,Çar Bekir,Dönmez Emrah,Kılıçarslan Serhat,Jamjoom Mona M.,Samee Nagwan Abdel,Hassan Dina S. M.,Mahmoud Noha F.

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-67405-y.pdf

Reference25 articles.

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4. Owen, J. et al. Psychosocial and physiological factors affecting selection to regional age-grade rugby union squads: A machine learning approach. Sports 10, 35 (2022).

5. Fernández-Romero, J. J., Suárez, H. V. & Carral, J. M. C. Selection of talents in handball: Anthropometric and performance analysis. Rev. Brasil. Med. Esporte 23, 361–365 (2017).

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