ID 111189
著者
Setoguchi, Yoko Tokushima University
Mitani, Kazue Tokushima University
キーワード
transfer
pressure ulcer
nursing needs score
imbalanced data
alternating decision tree
資料タイプ
学術雑誌論文
抄録
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.
掲載誌名
The Journal of Medical Investigation
ISSN
13496867
13431420
cat書誌ID
AA11166929
AA12022913
出版者
Faculty of Medicine Tokushima University
63
3-4
開始ページ
248
終了ページ
255
並び順
248
発行日
2016-08
EDB ID
321538
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
医学系