| 摘要: |
|
| 关键词: |
| DOI： |
|
| 基金项目: |
|
| Intelligent predicting approach of peritoneal fluid absorption rate based-on neural network |
| Mei ZHANG, Yueming HU, Tao WANG |
| (Institute of Automation Science and Engineering, South China University of Technology, Guangzhou Guangdong 510640, China; Institute of Nephrology, Peking University First Hospital, Beijing 100034, China) |
| Abstract: |
| This paper addresses the important intelligent predicting problem of peritoneal absorption rate in the peritoneal dialysis treatment 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 optimize 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. |
| Key words: Peritoneal dialysis Neural network Intelligent prediction Peritoneal absorption |
