Identifying predictors of independence in toileting activities using machine learning.

Introduction: Toileting independence is a key goal in stroke rehabilitation, yet no consensus exists regarding the factors influencing its achievement. This study identifies predictors of toileting independence in stroke patients using supervised machine learning with a random forest algorithm based...

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Bibliographic Details

Published in:	Advances in Rehabilitation Vol. 39; no. 1; pp. 73 - 81
Main Authors:	Kenta Kunoh, Daisuke Kimura, Shintaro Ishikawa, Hiromu Sakuragi, Kazumasa Yamada
Format:	research tables/charts Journal Article
Published:	Paradigm Publishing Services 2025
Online Access:	View this record in EBSCOhost