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Categorization of behavioral characteristics and prediction of categorization of the elderly with Alzheimer's disease Daisuke Kimura 1 , Hiroki Bizen 2 , Kenta Kuno 3 , Aiko Imai 4 , Naoki Tomiyama 5 1Occupational Therapy Major, Department of Rehabilitation, Faculty of Health Sciences, Naragakuen University 2Department of Occupational Therapy, Faculty of Health Sciences, Kansai University of Health Sciences 3Department of Rehabilitation, Medical Corporation Wakokai Yamada Hospital 4Department of Occupational Therapy, Faculty of Medical Sciences, Nagoya Aoi University 5Department of Occupational Therapy, Faculty of Care and Rehabilitation, Seijoh University Keyword: 認知症 , ネットワーク解析 , ランダムフォレスト , Dementia , Network analytics , Random forest analysis pp.155-164
Published Date 2026/4/15

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 The purpose of this study was to classify, illustrate, and predict the behavioral characteristics of elderly people with dementia from BPSD assessment items. The analysis was conducted by classifying behavioral characteristics using graph theory and network analysis of location information measured by FUJITSU's UBIQUITOUSWARE, and predicting them from the NPI sub-items using decision tree analysis. As a result, the behavioral characteristics were aggregated into three patterns, which were classified as “stereotypy,” “avoidance,” and “instability.” On the other hand, it was found that the important factors for predicting these three behavioral traits by the sub-items of the NPI were anger, abnormal behavior, indifference, in the “stereotypy type”; they were disinhibition, depression, and indifference in the “avoidance type”; and they were agitation, abnormal behavior, and disinhibition in the “instability type.”


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電子版ISSN 印刷版ISSN 0289-4920 日本作業療法士協会

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