Intelligent predicting approach of peritoneal fluid absorption rate based-on neural network
Mei Zhang
Yueming HU
Tao Wang
摘要：This paper addresses the important intelligent predicting problem of peritoneal absorption rate in the peritoneal dialysis treament process of renal failure. As the index of dialysis adequacy, KT/V and Ccr are widely used and accepted. However,growing evidence suggests that the fluid balance may play a critical role in dialysis adequacy and patient outcome. Peritoneal fluid absorption decreases the peritoneal fluid removal. Understanding the peritoneal fluid absorption rate will help clinicians to opthnize the dialysis dwell time. The neural network approach is applied to the prediction of peritoneal absorption rate. Compared with multivariable regression method, the experimental results showed that neural network method has an advantage over multivariable regression. The application of this predicting method based-on neural network in clinic is instructive.
机标关键词：neural network approachperitoneal fluidperitoneal absorptionfluid absorptionperitoneal dialysisregression methodnetwork methodrenal failure
分类号：O1(数学)
资助基金：广东省科技攻关项目(2002C30211)
论文发表日期：2003-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：4( 82-85 )
英文信息