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Identifying predictors of independence in toileting activities using machine learning Cover

Identifying predictors of independence in toileting activities using machine learning

Advances in Rehabilitation
Volume 39 (2025): Issue 1 (March 2025)
By: Kenta Kunoh,  Daisuke Kimura,  Shintaro Ishikawa,  Hiromu Sakuragi and  Kazumasa Yamada  
Open Access
|Feb 2025

Authors

Kenta Kunoh

k-kuno@wakokai.or.jp

Department of Rehabilitation, Yamada Hospital, Japan

Daisuke Kimura

Department of Occupational Therapy, Faculty of Medical Sciences, Nagoya Women’s University, Japan

Shintaro Ishikawa

Department of Rehabilitation, Yamada Hospital, Japan

Hiromu Sakuragi

Department of Rehabilitation, Yamada Hospital, Japan

Kazumasa Yamada

Faculty of Rehabilitation Sciences, Aichi Medical College, Japan
DOI: https://doi.org/10.5114/areh.2025.148014 | Journal eISSN: 1734-4948
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Language: English
Page range: 73 - 80
Submitted on: Oct 30, 2024
|
Accepted on: Feb 18, 2025
|
Published on: Feb 26, 2025
Published by: University of Physical Education in Warsaw
In partnership with: Paradigm Publishing Services
Keywords:
stroke,
activities of daily living,
random forest
Related subjects:
Medicine,
Clinical medicine,
Physical and rehabilitation medicine,
Rheumatology,
Cardiology,
Sports and recreation,
Sports and recreation, other

© 2025 Kenta Kunoh, Daisuke Kimura, Shintaro Ishikawa, Hiromu Sakuragi, Kazumasa Yamada, published by University of Physical Education in Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

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