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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Auteurs principaux: | Keitaro Makino, Sangyoon Lee, Seongryu Bae, Ippei Chiba, Kenji Harada, Osamu Katayama, Kouki Tomida, Masanori Morikawa, Hiroyuki Shimada |
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Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/80b9a318c69e45de9f7af0d5834d5ec3 |
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