Title :
Cyclosporine concentration prediction using clustering and support vector regression methods
Author :
Camps-Valls, G. ; Soria-Olivas, E. ; Pérez-Ruixo, J.J. ; Pérez-Cruz, F. ; Figueiras-Vidal, A.R. ; Artés-Rodriguez, A.
Author_Institution :
Dept. Enginyeria Electronica, Valencia Univ., Spain
fDate :
6/6/2002 12:00:00 AM
Abstract :
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 in the problem. The SVR outperforms other classical neural networks
Keywords :
blood; kidney; molecular biophysics; patient treatment; statistical analysis; vectors; Cyclosporine concentration prediction; blood Cyclosporine A concentrations; clustering methods; critical dose drug; immunosuppression; intensive therapeutic drug monitoring; kidney transplantation; pharmacokinctic behaviour; renal transplant recipients; support vector regression methods; time series;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020354
