Special Issue “Applications of Machine Learning in Sports Medicine, Physical Activity, Posture, and Rehabilitation”
Federico Roggio · 2025
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Description
ment in a more comprehensive and individualized manner [1]. ML techniques have shown potential to improve performance analysis, injury risk assessment, rehabilitation monitoring, and the personalization of exercise programs, contributing to more proactive and data-informed decision-making processes [2]. However, alongside this rapid expansion, a critical issue has emerged: the gap between methodological sophistication and real-world applicability.
Catalog record
| CREATOR | Federico Roggio |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 8 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |