Disease distribution modeling

Abstract

In this paper disease distrubution was modelling by randomize method. Cancer distribution in human population was modelling by polynomal distribution probability model. By the derived model virtual experiments of cancer tissue investigation were simulated. The method consists from data collecting about experimental diagnostics, experimental design establishing, selection of mathematical description, parameters estimation, and model adequate examination. How do you seek out sampling function is one of the basic task of modelling this medical system. It is very important how are estimation distribution parameters performed and how defined operation variables according to selected object function. As results of the repeted measurements for the most real experiments different values of measured quantities are obtained.