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Comparing Machine Learning Methods to Improve Fall Risk Detection in Elderly with Osteoporosis from Balance Data
Falls are a multifactorial cause of injuries for older people. Subjects with osteoporosis are particularly vulnerable to falls. We study the performance of different computational methods to identify people with osteoporosis who experience a fall by analysing balance parameters. Balance parameters,...
Autores principales: | Cuaya-Simbro, German, Perez-Sanpablo, Alberto-I., Morales, Eduardo-F., Quiñones Uriostegui, Ivett, Nuñez-Carrera, Lidia |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448611/ https://www.ncbi.nlm.nih.gov/pubmed/34540190 http://dx.doi.org/10.1155/2021/8697805 |
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