Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

Nowadays, it becomes of paramount societal importance to support many frail-prone groups in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and physically active, maintain their quality of life, and avoid their loss of autonomy. Once older people enter the pr...

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Detalles Bibliográficos
Autores principales: Bargiotas, Ioannis, Wang, Danping, Mantilla, Juan, Quijoux, Flavien, Moreau, Albane, Vidal, Catherine, Barrois, Remi, Nicolai, Alice, Audiffren, Julien, Labourdette, Christophe, Bertin‐Hugaul, François, Oudre, Laurent, Buffat, Stephane, Yelnik, Alain, Ricard, Damien, Vayatis, Nicolas, Vidal, Pierre-Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886639/
https://www.ncbi.nlm.nih.gov/pubmed/35817988
http://dx.doi.org/10.1007/s00415-022-11251-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886639/
https://www.ncbi.nlm.nih.gov/pubmed/35817988
http://dx.doi.org/10.1007/s00415-022-11251-3

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