Zhang Mei, Zhao Jing, Hu Yueming
Ministry of Education Engineering Research Center for Precision Electronic Manufacture Equipment, College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Jun;26(3):475-9.
Against the large number of assessment indices to the adequacy peritoneal dialysis and incompatibility of some indices, an intelligent assessment approach to the peritoneal dialysis adequacy based on MART2 (modified from ART2) network is proposed. After non-dimension and weighting preconditioning, the assessment indices were put to MART2 and sorted into many clusters. The center-of-gravity of each cluster was identified as adequacy or inadequacy according to the assessment criteria of dialysis adequacy, and the adequacy of each cluster could be determined by the adequacy of corresponding center-of-gravity when the network threshold was high. Finally, the peritoneal dialysis adequacy of each patient could be judged according to the adequacy of cluster to which the patients' indices belong. Experimental results demounstrate its effectiveness.
