DocumentCode :
506675
Title :
Multi-index synthesize evaluation model based on entropy theory for dialysis adequacy
Author :
Zhang, Mei ; Shan, Yi Sheng ; Wu, Nan ; Hu, Yue Ming
Author_Institution :
Minist. of Educ. Eng. Res. Center for Precision Electron. Manuf. Equip., South China Univ. of Technol., China
Volume :
3
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
475
Lastpage :
479
Abstract :
Dialysis adequacy shows validity of dialysis schemes in renal failure patients, which is relative to state of patients. An accurate evaluation for dialysis adequacy is very important. Aiming at the clinic actual situation, an evaluation index system of dialysis adequacy is proposed in this paper. In view of subjectivity in the determination of weights in the traditional model, entropy theory is used to determine the significance of each index and attribute weights. At the same time, to aggregate group decision opinions, a consensus function of group decision makers or experts is presented, and then expert weights are achieved. Finally, a multi-index synthesizing evaluation model of dialysis adequacy is established in this paper. The illustrative example shows the effectiveness and practicability of the proposed model.
Keywords :
aggregate planning; entropy; patient care; aggregate group decision; clinic actual situation; determine significance attribute weights; determine significance index; dialysis adequacy; entropy theory; evaluation index system; expert weights achieved; multi index synthesize evaluation model; multi index synthesizing evaluation model; renal failure patients; Biomedical engineering; Decision making; Educational institutions; Educational technology; Electronic equipment manufacture; Entropy; Hospitals; Manufacturing automation; Medical treatment; Virtual manufacturing; dialysis adequacy; entropy weight; multi-index synthesize evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358119
Filename :
5358119
Link To Document :
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