Simplified Decision-Tree Algorithm to Predict Falls for Community-Dwelling Older Adults

The present study developed a simplified decision-tree algorithm for fall prediction with easily measurable predictors using data from a longitudinal cohort study: 2520 community-dwelling older adults aged 65 years or older participated. Fall history, age, sex, fear of falling, prescribed medication...

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Detalles Bibliográficos
Autores principales: Makino, Keitaro, Lee, Sangyoon, Bae, Seongryu, Chiba, Ippei, Harada, Kenji, Katayama, Osamu, Tomida, Kouki, Morikawa, Masanori, Shimada, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585075/
https://www.ncbi.nlm.nih.gov/pubmed/34768703
http://dx.doi.org/10.3390/jcm10215184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585075/
https://www.ncbi.nlm.nih.gov/pubmed/34768703
http://dx.doi.org/10.3390/jcm10215184

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