Title of article :
Statistical modeling of breast cancer using differential equations
Author/Authors :
Tsokos, Chris P. University of South Florida - Department of Mathematics and Statistics, USA , Xu, Young Readford University - Department of Mathematics, USA
Abstract :
The object of the present study is to develop differential equations that will characterize the behavior of the tumor as a function of time. Having such differential equations, the solution of which once plotted will identify the rate of change of tumor size as a function of age. The structures of the differential equations characterize the growth of breast cancer tumor. Once we have developed the differential equations and their solutions, we proceed to validate the quality of the differential system and discuss its usefulness.
Keywords :
Differential Equation (DE) , Rate of Change (ROC) , Short and Long Term Prediction of Rate of Change , Statistical Modeling
Journal title :
Istanbul Business Research (IBR)
Journal title :
Istanbul Business Research (IBR)
