Cyclosporine concentration prediction using clustering and support vector regression methods

被引：10

作者：

Camps-Valls, G ^{[1
]}

Soria-Olivas, E

Pérez-Ruixo, JJ

Pérez-Cruz, F

Figueiras-Vidal, AR

Artés-Rodríguez, A

机构：

[1] Univ Valencia, Dept Elect Engn, E-46003 Valencia, Spain

[2] Dr Peset Univ Hosp, Serv Pharm, Valencia, Spain

[3] Univ Carlos III Madrid, Dept Teoria Senal & Comunicac, Madrid, Spain

[4] Janssen Res Fdn, Global Clin Pharmacokinet & Clin Pharmacodynam De, Beerse, Belgium

来源：

ELECTRONICS LETTERS | 2002年 / 38卷 / 12期

关键词：

D O I：

10.1049/el:20020354

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A combined strategy of clustering and support vector regression (SVR) methods is proposed to predict Cyclosporine A (CyA) concentration in renal transplant recipients. Clustering combats the high variability and non-stationarity of the time series and reports knowledge gain it the problem. The SVR outperforms other classical neural networks.

引用

页码：568 / 570

页数：3