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

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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Bibliographic Details
Main Authors: Keitaro Makino, Sangyoon Lee, Seongryu Bae, Ippei Chiba, Kenji Harada, Osamu Katayama, Kouki Tomida, Masanori Morikawa, Hiroyuki Shimada
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
fall prevention
decision-tree
machine learning
risk prediction
Medicine
R
Online Access:https://doaj.org/article/80b9a318c69e45de9f7af0d5834d5ec3
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https://doaj.org/article/80b9a318c69e45de9f7af0d5834d5ec3

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