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Robust Identification Approach to Individualized Anemia Model

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Over ninety percent of End Stage Renal Disease (ESRD) patients suffer from anemia due to insufficient endogenous production of human erythropoietin. Until the advent of Recombinant Human Erythropoietin (r-HuEPO) over 30 years ago, patients with ESRD were treated mainly with multiple blood transfusions. The high cost of r-HuEPO in addition to the narrow margin between an effective do-sage and toxicity in drug administration calls for optimal dosage strategy capable of minimizing cost and toxicity while at the same time achieving the desired do-sage outcome. It is well known from control theory that a controller can be de-signed for any plant provided there is readily available a valid model for such a plant. We present Robust Identification procedure, a dimensionality reduction technique capable of capturing the inherent dynamics of anemia patients; conse-quently producing individualized model suitable for robust control synthesis and any other controller design methodologies.
Rocznik
Strony
65--75
Opis fizyczny
Bibliogr. 14 poz., rys.
Twórcy
autor
  • Department of Electrical Engineering, University of Louisville, Louisville, KY. 40292
autor
  • Department of Electrical Engineering, University of Louisville, Louisville, KY. 40292
autor
  • Division of Nephrology, University of Louisville, Louisville, KY. 40292
autor
  • Division of Nephrology, University of Louisville, Louisville, KY. 40292
  • Department of Veteran Affairs, Louisville, KY. 40292
autor
  • Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY. 40292
autor
  • Department of Electrical Engineering, University of Louisville, Louisville, KY. 40292
Bibliografia
  • [1] James VI. Bailey and Wassim M. Haddad. Drag dosing control in clinical pharmacology. IEEE Control Systems Magazine, April 2005.
  • [2] Riccardo Beilazi. Drug deliveiy optimization through bayesian networks. AMIA, pages 572-578, 1993.
  • [3] Riccardo Bellazzi, Carlo Shiero, and Roberto Bellazi. Mathematical modeling of erytiiropoietin therapy in uremic anemia, does it improve cost-effeetiveness? Medical decision making and problem solving in hematolog, 79:154-164, 1994.
  • [4] Jie Chen and Guoxiang Gu. Control Oriented System Identification: An H∞ Approach. John Wiley & Sons, Inc., New York, first edition, Jun 2000.
  • [5] Kapil G Gadkar, Rudiyanto Gunawan, and Fracis J Doyle III. Iteralive approach to model identification of biological networks. BMC Bioinfomtatics, 6, june 2005.
  • [6] Adam K. Gawęda, Alfred A. Jacobs, George R- Aronolf, and Michael E. Brier. Model predictive control of erythropoietin administration in the anemia of esrd. American Journal of Kidney Disease, 5l(1):71-79, January 2008.
  • [7] Guoxiang Gu and Jie Chen. A Nearly Interpolatory Algorithm for H∞ Identification with Mixed Tinie and Frequency Response Data. June 2000.
  • [8] A J . Heltnicki, C A . Jacobson, and C.N. Nett. Control oriented system identitiealion: a worst-case/determintstic approach in h infin;. Automatic Control, IEEE Transactions on. 36(10):1163-1176, oct 1991.
  • [9] Wenjing Ma. Semi-Blind Robusl Identification and Model (in)validation. PhD thesis. The Pennsylvania Siate University, December 2007.
  • [10] Jose D. Martin-Guerrero. Gustavo Camps-Valls. Emilio Soria-Olivas, Anatonio J.Serrano-Lopez, Juan J. Perez-Ruixo, and N. Victor Jimenez-Torres. Dosage individualization of erythropoietin using a profile-dependent support vector regression. IEEE Transactions on Biomedical Engineering, 2003.
  • [11] Mehmet K. Muezzinoglu. Approximate Dynamic Programming for Anemia management. PhD thesis, University of Louisville, March 2006.
  • [12] Schoukens, Y. Rolain. and R. Pintelon. On the use of parametric and non-parametric noise models in time- and frequency domain system identification. In Decision and Control (CBC), 2010 49th IEEE Conference on, pages 316-321. dec. 2010.
  • [13] Dominik K. Uehlinger, Frank A. Gotch. and Lewis B. Sheiner. A pharmacodynamic model of erythropoietin therapy for nremic anemia. Hemodialysis Research Unit, Davies Medical Center and Dept. of Laboratory Medicine, University of California, Sanfrancisco.
  • [14] D.T Westwick and R.K Kearney. Identification of physiological systems: a robust metod for non-parametric impulse response estimation. Medical & Biological Engineering & Computing, 1997.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-07057b32-aa4e-4711-8372-f486dd691342
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