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Computational approach of tumor growth in human body with a significant technique the rough set
Author(s) -
Arvind Kumar Sinha,
Nishant Namdev
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/798/1/012038
Subject(s) - set (abstract data type) , rough set , population , computer science , computation , nonlinear system , euler's formula , carrying capacity , development (topology) , mathematical model , interface (matter) , mathematical optimization , mathematics , artificial intelligence , algorithm , programming language , biology , ecology , statistics , physics , mathematical analysis , demography , bubble , quantum mechanics , maximum bubble pressure method , sociology , parallel computing
Tumors are the most threatening issue everywhere throughout the world. The development of tumor cells is dubious in the human body because of its unusual phenomena. The Rough set is a rising and the most special mathematical device to manage uncertain circumstances. A scientific model is given for tumor cells population development with carrying capacity and by the Rough set in uncertain circumstances. In this methodology, the mathematical analysis of the nonlinear behavior of tumor cells population is set up via carrying capacity and simulation by using Euler’s method. The accuracy of the carrying capacity of the number of tumors cells 99.53% correct according to our model. The paper is an interface between mathematical modeling, numerical computation, simulation, and implementation of application on biomedical systems, which is an oriented idea to biology.

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