Tytuł artykułu
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Warianty tytułu
Języki publikacji
Abstrakty
The paper presents a general review of two approaches to modeling of urea concentration in serum after hemodialysis. The first approach is a well-established classic method, widely accepted by medical staff dealing with practical nephrology. The other one utilises the power of artificial neural networks, which is a novel application to that field. Unlike classic models that base on theoretical investigation, this technique uses only a number of data from previous treatment to construct a model through so called learning from examples.
Rocznik
Tom
Strony
SN9--SN14
Opis fizyczny
Bibliogr. 11 poz.
Twórcy
autor
- Institute of Computer Science, Technical University of Lodz, Poland
autor
- Institute of Computer Science, Technical University of Lodz, Poland
- Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
autor
- Dialysis Centre, N. Copernicus Regional Joint Hospital in Lodz, Poland
autor
- School of Information and Software Engineering, University of Ulster at Jordanstown, Northern Ireland, UK
Bibliografia
- [1] DAUGIRDAS J., SCHNEDITZ D., Overestimation of Hemodialysis Dose Depends on Dialysis Efficiency by Regional Blood Flow but not by Conventional Two-Pool Urea Kinetic Analysis. ASAIO J, 41, M719-M724, 1995.
- [2] GOTCH F., A Quantitative Evaluation of Small and Middle Molecule Toxicity in Therapy of Uremia. Dial. Transplant, 9, 1980.
- [3] GUH JY, YANG CY, YANG JM, CHEN LM, LAI YH, Prediction of Equilibrated Postdialysis BUN by an Artificial Neural Network in High-Efficiency Hemodialysis. American Journal of Kidney Diseases, Vol. 31, No 4, pp. 638-646, 1998.
- [4] HAYKIN S., Neural Networks. A Comprehensive Foundation. MacMilan Publ. Company, New York, 1994.
- [5] LOPOT F., Urea Kinetic Modelling. EDTNA-ERCA Series, Vol. 4, pp. 17-48, 1990.
- [6] PIETRZYK J., Ocena skuteczności dializy u dzieci na podstawie parametrów modelowania kinetycznego mocznika (Dialysis Efficiency Evaluation in Children Based on UKM Parameters). Jagiellonian University, Collegium Medicum, pp. 7-28, 68-71, Cracow, 1994 (in Polish).
- [7] SMYE S., DUNDERDALE E., BROWNRIDGE G., WILL E., Estimation of Treatment Dose in High-Efficiency Haemodialysis. Nephron 67, pp.24-29, 1994.
- [8] SZCZEPANIAK P., FILUTOWICZ J., NOWAK P., OJHA P., Classic and Neural Urea Kinetic Modelling. Proc. 6th Int. Conf. SYMBIOSIS'2001, Szczyrk, 2001.
- [9] SZCZEPANIAK P., NOWAK P., FILUTOWICZ J., OJHA P., Analysis of Input Significance for Neural Urea Kinetic Modelling. (to be published), 2001.
- [10] TADEUSIEWICZ R., Sieci neuronowe (Neural Networks). Akademicka Oficyna Wydawnicza RM, Warsaw, 1993 (in Polish).
- [11] TATTERSAL J. et al., The Post-Hemodialysis Rebound: Predicting and Quantifying its Effect on Kt/V. Kidney International, Vol. 50, pp. 2094-2102,1996.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-18a81e54-8143-4644-afac-ae92a9dca907