Physical Therapy Japan
Online ISSN : 2189-602X
Print ISSN : 0289-3770
ISSN-L : 0289-3770
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Volume 50, Issue 5
Displaying 1-8 of 8 articles from this issue
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Research Report (Original Article)
  • Factors That Relate to Activities of Daily Living (ADL) at Discharge in Patients with Acute Stroke Using Machine Learning
    eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP) Analyses
    Yohei KOBAYASHI, Yutaka SUGIZURU, Kota MIYAZONO, Takahiro IIJIMA, Keig ...
    2023 Volume 50 Issue 5 Pages 177-185
    Published: October 20, 2023
    Released on J-STAGE: October 20, 2023
    Advance online publication: October 13, 2023
    DOIhttps://doi.org/10.15063/rigaku.12376
    JOURNAL FREE ACCESS
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    Objective: This study aimed to investigate factors that relate to the Activities of Daily Living (ADL) at discharge in patients with acute stroke using machine learning.

    Methods: The study included 246 patients admitted to five acute hospitals. The medical characteristics and clinical assessment sub-items of the patients were evaluated, and we used eXtreme Gradient Boosting (XGBoost) to predict whether the patients would be independent in ADL at discharge. The contributing factors were examined using SHapley Additive exPlanations (SHAP).

    Results: Prediction accuracy was high, with an area under the curve of at least 0.85 for both training and test data. The following contributing factors were highly ranked: Functional Ambulation Category, Brünnstrom Recovery Stage of the lower limb, the “turn over from supine position” basic movement of Ability for Basic Movement Scale-II (ABMS-II), the “dressing” item of Barthel Index, and the “remain standing” basic movement of ABMS-II.

    Conclusion: The study suggests that gait, lower limb function on the paralyzed side, and movement ability are the most important contributing factors to ADL at discharge in patients with acute stroke.

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