Cargando…
A Postural Assessment Utilizing Machine Learning Prospectively Identifies Older Adults at a High Risk of Falling
Introduction: Falls are the leading cause of accidental death in older adults. Each year, 28.7% of US adults over 65 years experience a fall resulting in over 300,000 hip fractures and $50 billion in medical costs. Annual fall risk assessments have become part of the standard care plan for older adu...
Autores principales: | Forth, Katharine E., Wirfel, Kelly L., Adams, Sasha D., Rianon, Nahid J., Lieberman Aiden, Erez, Madansingh, Stefan I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772994/ https://www.ncbi.nlm.nih.gov/pubmed/33392218 http://dx.doi.org/10.3389/fmed.2020.591517 |
Ejemplares similares
-
Self-Monitoring of Balance Performance can Reduce the Rate of Falls Among Older Adults
por: Forth, Katharine E., et al.
Publicado: (2021) -
Effects of Obesity and Fall Risk on Gait and Posture of Community-Dwelling Older Adults
por: Lockhart, Thurmon E., et al.
Publicado: (2019) -
Falls and postural control in older adults with cataracts
por: Nodehi Moghadam, Afsun, et al.
Publicado: (2015) -
Falls efficacy, postural balance, and risk for falls in older adults with falls-related emergency department visits: prospective cohort study
por: Pua, Yong-Hao, et al.
Publicado: (2017) -
EXPERIENCES IN CREATING A WRITING GROUP
por: Flores, Renee J, et al.
Publicado: (2019)