Predictability of Pressure Ulcers Based on Operation Duration, Transfer Activity, and Body Mass Index Through the Use of an Alternating Decision Tree

• Material Type: 博士論文
• Title: Predictability of Pressure Ulcers Based on Operation Duration, Transfer Activity, and Body Mass Index Through the Use of an Alternating Decision Tree
• Author/Editor: Setoguchi, Yoko; Ghaibeh, A. Ammer; Mitani, Kazue; Abe, Yoshiro; Hashimoto, Ichiro; Moriguchi, Hiroki
• Author Heading: Setoguchi, Yoko; Ghaibeh, A. Ammer; Mitani, Kazue; Abe, Yoshiro; Hashimoto, Ichiro; Moriguchi, Hiroki
• Publication, Distribution, etc.: Faculty of Medicine Tokushima University
• Publication Date: 2016-08
• Publication Date (W3CDTF): 2016-08
• Alternative Title: ADTを用いた手術時間, 移乗, BMIに基づく褥瘡発生の予測可能性; Pressure Ulcer prediction using ADT
• Periodical title: The Journal of Medical Investigation
• No. or year of volume/issue: 63 3-4
• Volume: 63
• Issue: 3-4
• Pages: 248-255
• ISSN (Periodical Title): ISSN : 1349-6867; ISSN : 1343-1420
• Degree grantor/type: 徳島大学
• Date Granted: 2016-09-08
• Dissertation Number: 甲第2967号
• Degree Type: 博士（医学）
• Text Language Code: eng
• Subject Heading: transfer; pressure ulcer; nursing needs score; imbalanced data; alternating decision tree; acute care hospital
• Target Audience: 一般
• Note (General): Objective : To develop a prediction model for pressure ulcer cases that continue to occur at an acute care hospital with a low occurrence rate of pressure ulcers. Methods : Analyzing data were collected from patients hospitalized at Tokushima University Hospital during 2012 using an alternating decision tree (ADT) data mining method. Results : The ADT-based analysis revealed transfer activity, operation time, and low body mass index (BMI) as important factors for predicting pressure ulcer development. Discussion : Among the factors identified, only “transfer activity” can be modified by nursing intervention. While shear force and friction are known to lead to pressure ulcers, transfer activity has not been identified as such. Our results suggest that transfer activities creating shear force and friction correlate with pressure ulcer development. The ADT algorithm was effective in determining prediction factors, especially for highly imbalanced data. Our three stumps ADT yielded accuracy, sensitivity, and specificity values of 72.1%±3.7%, 79.3%±18.1%, and 72.1%±3.8%, respectively. Conclusion : Transfer activity, identified as an interventional factor, can be modified through nursing interventions to prevent pressure ulcer formation. The ADT method was effective in identifying factors within largely imbalanced data.
• Format (IMT): application/pdf
• Access Restrictions: インターネット公開
• Related Material (DOI): 10.2152/jmi.63.248
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 徳島大学 : 徳島大学機関リポジトリ

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https://repo.lib.tokushima-u.ac.jp/files/public/11/111189/20190807145806282430/LID201611111003.pdf fulltext

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