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

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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:	Keitaro Makino, Sangyoon Lee, Seongryu Bae, Ippei Chiba, Kenji Harada, Osamu Katayama, Kouki Tomida, Masanori Morikawa, Hiroyuki Shimada
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fall prevention decision-tree machine learning risk prediction Medicine R
Acceso en línea:	https://doaj.org/article/80b9a318c69e45de9f7af0d5834d5ec3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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