REVIEW ARTICLE |
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Year : 2023 | Volume
: 23
| Issue : 1 | Page : 7-9 |
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Role of predictive modeling and personalized modeling in the enhancement of athletic performance
Mohammad Ahsan1, Md Dilshad Ahmed2, Kaukab Azeem3
1 Department of Physical Therapy, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia 2 Department of Humanities and Social Sciences, Prince Mohammad Bin Fahd University, Dammam, Saudi Arabia 3 Department of Physical Education, College of Medicine, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Correspondence Address:
Mohammad Ahsan Department of Physical Therapy, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam Saudi Arabia
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/sjsm.sjsm_7_23
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In sports, the difference between winning and losing can often come down to the smallest of margins. As such, athletes and coaches are constantly looking for ways to gain an edge over their competitors. One area that has seen significant growth in recent years is the use of predictive modeling and personalized modeling to enhance athletic performance. Predictive and personalized modeling helps athletes and coaches make more informed decisions about training and preparing for competitions. By identifying the areas of weakness or predicting potential injuries, these models can help athletes take proactive steps to address these issues. Predictive and personalized modeling in sports is also associated with challenges. Despite the challenges, the potential benefits of predictive and personalized modeling in sports are clear. By providing athletes with highly targeted insights into optimizing their performance, predictive modeling and personalized modeling help them to achieve their full potential and reach new heights in their respective sports. As a result, it is expected that there will be further increases in the implementation of predictive and personalized modeling in the forthcoming years.
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