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要旨:本研究は認知症高齢者の行動特性を分類し,その特徴を示すことと,それら行動特性を予測することを目的とした.分析は,Fujitsu LimitedのUBIQUITOUSWAREで計測した位置情報に対し,グラフ理論に基づくネットワーク解析を行い行動特性を分類した.次に,ランダムフォレストを用いNPI下位項目から行動特性を予測した.その結果,行動特性は「常同型」「回避型」「不安定型」の3つのパターンに集約された.これら3つの行動特性をNPIの下位項目で予測するには,「常同型」では易怒性,異常行動,無関心,「回避型」では脱抑制,うつ,無関心,「不安定型」では興奮,異常行動,脱抑制が行動特性の予測に重要な特徴量であった.
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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