Title
Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.
Abstract
Proposes the use of neural networks for individualizing the dosage of cyclosporine A (CyA) in patients who have undergone kidney transplantation. Since the dosing of CyA usually requires intensive therapeutic drug monitoring, the accurate prediction of CyA blood concentrations would decrease the monitoring frequency and, thus, improve clinical outcomes. Thirty-two patients and different factors we...
Year
DOI
Venue
2003
10.1109/TBME.2003.809498
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Neural networks,Blood,Predictive models,Patient monitoring,Finite impulse response filter,Drugs,Frequency,Multilayer perceptrons,Decision making,Noise robustness
Data mining,Remote patient monitoring,Computer science,Mean squared error,Robustness (computer science),Multilayer perceptron,Artificial intelligence,Artificial neural network,Finite impulse response,Kidney transplantation,Computer vision,Therapeutic drug monitoring,Pattern recognition
Journal
Volume
Issue
ISSN
50
4
0018-9294
Citations 
PageRank 
References 
6
0.94
2
Authors
7