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

Autor: Kurtoğlu A; Department of Coaching Education, Faculty of Sport Science, Bandirma Onyedi Eylul University, Balıkesir, 10200, Turkey., Eken Ö; Department of Physical Education and Sport Teaching, Faculty of Sports Sciences, Inonu University, Malatya, Turkey., Çiftçi R; Department of Anatomy, Medical Faculty, Gaziantep Islamıc Science and Technology University, Gaziantep, Turkey., Çar B; Department of Physical Education and Sport Teaching, Faculty of Sport Sciences, Bandirma Onyedi Eylul University, Balıkesir, 10200, Turkey., Dönmez E; Department of Software Engineering, Bandırma Onyedi Eylül University, Balıkesir, Turkey., Kılıçarslan S; Department of Software Engineering, Bandırma Onyedi Eylül University, Balıkesir, Turkey., Jamjoom MM; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, 11671, Riyadh, Saudi Arabia., Samee NA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. nmabdelsamee@pnu.edu.sa., Hassan DSM; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia., Mahmoud NF; Rehabilitation Sciences Department, Health and Rehabilitation Sciences College, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.

Publikováno v: Scientific reports [Sci Rep] 2024 Jul 18; Vol. 14 (1), pp. 16593. Date of Electronic Publication: 2024 Jul 18.