RCGAとファジィ推論を用いた看護師の判断モデルの構築――入院患者のベッド上における転倒危険度の推定――

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/05/01

タイトル(英語): Modeling of Nurse's Experimental Rule by Using RCGA and Fuzzy Reasoning――Estimation of the Inpatient's Fall Risk on the Bed――

著者名: 櫛田　大輔（鳥取大学大学院 工学研究科），安藤　泰正（鳥取大学大学院 工学研究科），北村　章（鳥取大学大学院 工学研究科），深田　美香（鳥取大学 医学部 保健学科）

著者名(英語): Daisuke Kushida (Graduate school of Engineering, Tottori University), Yasumasa Ando (Graduate school of Engineering, Tottori University), Akira Kitamura (Graduate school of Engineering, Tottori University), Mika Fukada (Faculty of Medicine, Tottori University)

キーワード: 看護師の経験則，転倒アセスメントスコア，ファジィ推論，RCGA　　Nurse's Experimental Rule，Fall Assessment Scores，Fuzzy Reasoning，Real-Coded Genetic Algorithms

要約(英語): The fall accident in the hospital is one of the serious problems and occupies approximately 60% of the accident to occur in a hospital. In the hospital, a device to detect the fall accident from a bed is installed, but there is not the effect to reduce a fall accident. Therefore the quick estimated technique of the fall risk from a bed is required to prevent a fall accident. This paper proposes to construct the estimation model for the inpatient's fall risk based on the fuzzy reasoning and real-coded genetic algorithms by fall assessment scores and the working nurse's experiment. The effectiveness of the constructed model is assured by comparing with the nurse's experiment, and the possibility of the fall risk estimate in the hospital is suggested.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.5 （2015） 特集：看護現場の安全性確保のための支援技術

本誌掲載ページ: 498-504 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/5/135_498/_article/-char/ja/