• DocumentCode
    886988
  • Title

    A worst-case optimal parameter selection model of cancer chemotherapy

  • Author

    Martin, Rory B. ; Teo, Kok Lay

  • Author_Institution
    Dept. of Math., Western Australia Univ., Nedlands, WA, Australia
  • Volume
    39
  • Issue
    10
  • fYear
    1992
  • Firstpage
    1081
  • Lastpage
    1085
  • Abstract
    An optimal parameter selection model of cancer chemotherapy in which two system parameters are unknown is formulated as a worst-case optimal parameter selection model. The model assumes that the unknown parameters lie within a known set. The system constraints must be satisfied over this entire set, and the objective function minimized in the worst case. The continuous dependence of the objective function and the system constraints upon the unknown parameters can be removed, making a numerical solution tractable. For the data considered it is proven that a cure is impossible no matter what the values of the unknown parameters in the parameter set. The optimal policy is shown to be relatively low dose intensity for the majority of the treatment, with remaining drug delivered towards the end of the treatment interval.
  • Keywords
    optimal control; patient treatment; cancer chemotherapy; drug; numerical solution; objective function; system constraints; worst-case optimal parameter selection model; Australia; Biomedical measurements; Cancer; Differential equations; Drugs; Liver neoplasms; Mathematics; Upper bound; Humans; Models, Statistical; Neoplasms;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.161340
  • Filename
    161340