• DocumentCode
    1661453
  • Title

    Nonlinear models and data analysis of cancer patients

  • Author

    Asachenkov, A.A.

  • Author_Institution
    Int. Inst. for Appl. Syst. Anal., Laxenburg
  • fYear
    1989
  • Firstpage
    1617
  • Abstract
    New methods for analyzing clinical data for oncological patients are developed. These data are considered as observed variables of the mathematical tumor model. The connection between a mortality index and individual dynamics of the observed data is discussed. This approach allows the clinically unexpressed part of the tumor process to be observed, and it also allows the process to be examined during treatment
  • Keywords
    biomedical measurement; data analysis; data reduction; nonlinear systems; cancer patients; clinically unexpressed part; data analysis; examined during treatment; individual dynamics; mathematical tumor model; methods for analyzing clinical data; mortality index; nonlinear models; oncological patients; tumor process; Cancer; Data analysis; Diseases; Hazards; Immune system; Mathematical model; Neoplasms; Oncological surgery; Organisms; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100672
  • Filename
    100672