Title :
Nonlinear models and data analysis of cancer patients
Author :
Asachenkov, A.A.
Author_Institution :
Int. Inst. for Appl. Syst. Anal., Laxenburg
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;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100672
