• DocumentCode
    472109
  • Title

    Model Predictive Control with Reinforcement Learning for Drug Delivery in Renal Anemia Management

  • Author

    Gaweda, Adam E. ; Muezzinoglu, Mehmet K. ; Jacobs, Alfred A. ; Aronoff, George R. ; Brier, Michael E.

  • Author_Institution
    Dept. of Medicine, Louisville Univ., KY
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    5177
  • Lastpage
    5180
  • Abstract
    Treatment of chronic conditions often creates the challenge of an adequate drug administration. The intra- and inter-individual variability of drug response requires periodic adjustments of the dosing protocols. We describe a method, combining model predictive control for simulation of patient response and reinforcement learning for estimation of dosing strategy, to facilitate the management of anemia due to kidney failure
  • Keywords
    decision support systems; drug delivery systems; intelligent control; kidney; learning (artificial intelligence); medical computing; medical control systems; predictive control; chronic conditions; decision support system; dosing protocols; drug administration; drug delivery; inter-individual variability; intra-individual variability; kidney failure; model predictive control; reinforcement learning; renal anemia management; Cardiac disease; Cities and towns; Drug delivery; Humans; Jacobian matrices; Learning; Medical treatment; Predictive control; Predictive models; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260685
  • Filename
    4462970