Fall risk prediction using temporal gait features and machine learning approaches
IntroductionFalls have been acknowledged as a major public health issue around the world. Early detection of fall risk is pivotal for preventive measures. Traditional clinical assessments, although reliable, are resource-intensive and may not always be feasible.MethodsThis study explores the efficac...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2024-08-01
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| Seri Bilgileri: | Frontiers in Artificial Intelligence |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/frai.2024.1425713/full |
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