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,...

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Detalles Bibliográficos
Autores principales: Cuaya-Simbro, German, Perez-Sanpablo, Alberto-I., Morales, Eduardo-F., Quiñones Uriostegui, Ivett, Nuñez-Carrera, Lidia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
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

Internet

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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