標題: Pattern discovery from patient controlled analgesia demand behavior
作者: Hu, Yuh-Jyh
Ku, Tien-Hsiung
分子醫學與生物工程研究所
資訊工程學系
Institute of Molecular Medicine and Bioengineering
Department of Computer Science
關鍵字: Patient controlled analgesia;Pain management;PCA demand;Behavioral pattern;Clustering
公開日期: 1-十月-2012
摘要: Unlike previous research on patient controlled analgesia, this study explores patient demand behavior over time. We apply clustering methods to disclose demand patterns among patients over the first 24 h of analgesic medication after surgery. We consider demographic, biomedical, and surgery-related data in statistical analyses to determine predictors for patient demand behavior, and use stepwise regression and Bayes risk analysis to evaluate the influence of demand pattern on analgesic requirements. We identify three demand patterns from 1655 patient controlled analgesia request log files. Statistical tests show correlations of gender (p=.0022), diastolic blood pressure (p =.025), surgery type (p =.0028), and surgical duration (p <.0095) with demand patterns. Stepwise regression and Bayes risk analysis show demand pattern plays the most important role in analgesic consumption prediction (p=0.E+0). This study suggests analgesia request patterns over time exist among patients, and clustering can disclose demand behavioral patterns. (C) 2012 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.compbiomed.2012.08.002
http://hdl.handle.net/11536/20460
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2012.08.002
期刊: COMPUTERS IN BIOLOGY AND MEDICINE
Volume: 42
Issue: 10
起始頁: 1005
結束頁: 1011
顯示於類別:期刊論文


文件中的檔案:

  1. 000309847900007.pdf