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Sports, Volume 10, Issue 1

January 2022 - 12 articles

Cover Story: The aim of the study was to analyze different predictive analytic techniques to forecast the risk of muscle strain injuries (MSI) in youth soccer. Modifiable and non-modifiable risk factors were used to predict MSI through different data mining models: Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM). Results: SVM showed the best predictive ability. The analysis revealed that the risk of injury could change according to players’ maturity status, neuromuscular fatigue, anthropometric factors, higher workloads, and low recovery status. View this paper

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Article

17 Citations

16,017 Views

12 Pages

Kinetic and Kinematic Characteristics of Proficient and Non-Proficient 2-Point and 3-Point Basketball Shooters

Dimitrije Cabarkapa,
Andrew C. Fry,
Damjana V. Cabarkapa,
Chloe A. Myers,
Grant T. Jones and
Michael A. Deane

Sports2022, 10(1), 2;https://doi.org/10.3390/sports10010002

22 December 2021

The purpose of this study was to examine kinetic and kinematic characteristics of various types of 2-point and 3-point basketball shooting approaches and determine which variables have the greatest contribution in discriminating proficient (PRO) from...

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Article

6 Citations

4,696 Views

8 Pages

Sun Protective Behaviors and Attitudes of Runners

Adam S. Tenforde,
Michael Fredericson,
Kierann E. S. Toth and
Kristin L. Sainani

Sports2022, 10(1), 1;https://doi.org/10.3390/sports10010001

21 December 2021

Sun exposure is a risk factor for skin cancer. Knowledge and behaviors around sun exposure protective measures are poorly described in athletes including runners. Our primary objective was to describe sun exposure behaviors and knowledge in a populat...

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Sports - ISSN 2075-4663

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