Identification of AIDS Disease Severity Using Genetic Algorithm - Computational Intelligence Techniques for Comparative Genomics - page 94

Identication of AIDS Disease Severity
Using Genetic Algorithm

Dharmaiah Devarapalli and Panigrahi Srikanth

Abstract Bioinformatics is a data intentionally the eld in Research and

Development. The purpose of bioinformatics data mining (DM) is to observe the
relationships and patterns in large databases to provide useful data analysis and
results. Evolutionary algorithms play a main role in computational intelligence
techniques. An developing situation was created throughout the world regarding the
human immunode ciency syndrome

(HIV/AIDS) disease that is mainly stigma. Every country is facing this problem.
According to present survey is World health organization (WHO), AIDS disease
has its complexity are health disease going present century. A best way to early
examine of AIDS may improve the lives of all people affected by AIDS and people
may lead healthy life. In this part, we have present an evolutionary algorithm
known as Genetic Algorithm (GA) for better results of AIDS disease using
association rule mining. In this computational intelligence technique, we tested the
performance of the method using AIDS dataset. We presented a better

ciency virus infection/acquired immunode

tness
function using coverage, comprehensibility, and rule length. This tness function
we achieved is promising accuracy for model.

Keywords Arti cial immune system AIDS of CD4 cell count Computational

intelligence technique Fitness function Genetic algorithm