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A Comparative Study of Three Intelligent Techniques for Malaria in Africa Continent

by Khalda F. Ali, Amir Mohamed Elamir, Riza.m. Suliman
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 2
Year of Publication: 2013
Authors: Khalda F. Ali, Amir Mohamed Elamir, Riza.m. Suliman
10.5120/11364-6600

Khalda F. Ali, Amir Mohamed Elamir, Riza.m. Suliman . A Comparative Study of Three Intelligent Techniques for Malaria in Africa Continent. International Journal of Computer Applications. 67, 2 ( April 2013), 1-5. DOI=10.5120/11364-6600

@article{ 10.5120/11364-6600,
author = { Khalda F. Ali, Amir Mohamed Elamir, Riza.m. Suliman },
title = { A Comparative Study of Three Intelligent Techniques for Malaria in Africa Continent },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 2 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number2/11364-6600/ },
doi = { 10.5120/11364-6600 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:34.633297+05:30
%A Khalda F. Ali
%A Amir Mohamed Elamir
%A Riza.m. Suliman
%T A Comparative Study of Three Intelligent Techniques for Malaria in Africa Continent
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 2
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diseases are endemic in the Africa continent and one of the problems that affect economic development, malaria and fever is considered one of the most endemic diseases in eastern and central Africa, where Sudan is considered one of the countries in this region where the disease parasite. The proportion of the common symptoms of several types of fevers in this geographical area of Africa it is difficult in many cases determine the malaria fever for other fevers and thus may lead to give the patient treatment is not correct. Through this paper we compare three techniques to help in the diagnosis of malaria fever and other fevers thus giving the correct treatment and to fight the disease and minimize its spread. These techniques which will be used are neural network, genetic algorithm and fuzzy logic.

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Index Terms

Computer Science
Information Sciences

Keywords

Neural networks genetic algorithm fuzzy logic endemic diseases parasite asymptomatic malaria epidemiological

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