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Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana

by Quashie Duodu, Joseph Kobina Panford, James Ben Hayfron-acquah
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 17
Year of Publication: 2014
Authors: Quashie Duodu, Joseph Kobina Panford, James Ben Hayfron-acquah
10.5120/16102-5353

Quashie Duodu, Joseph Kobina Panford, James Ben Hayfron-acquah . Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana. International Journal of Computer Applications. 91, 17 ( April 2014), 22-28. DOI=10.5120/16102-5353

@article{ 10.5120/16102-5353,
author = { Quashie Duodu, Joseph Kobina Panford, James Ben Hayfron-acquah },
title = { Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 17 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number17/16102-5353/ },
doi = { 10.5120/16102-5353 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:13:00.441974+05:30
%A Quashie Duodu
%A Joseph Kobina Panford
%A James Ben Hayfron-acquah
%T Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 17
%P 22-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Malaria is a dicey global healthmenace hence prompt attention to it is vital especially accurate diagnosis and immediate suitable treatment. The main objective of this study was to design algorithm for malaria diagnosis using fuzzy logic for treatment in Ghana. A case study was conducted in Juaso District Government Hospital (JDGH). Literature survey, observation, interview, patients' folder studies, and consultation were used fordata collection. The algorithm for malaria diagnosis and treatment using fuzzy logic (FL) was designed and simulated using MATLAB 7. 8. 0. Membership function and 27 fuzzy decision matrices were constructed and used. The algorithm was tested using thirteen randomly sampled malaria suspected patients in JDGH. The designed algorithm gives 15. 4% accurate diagnosis result more than the result of the presumptive medical doctors' diagnosis. Fuzzy logic is a very useful tool in dealing accurately with problems that appear to be solved only by human judgment when data is modeled well.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy logic algorithm membership function fuzzy decision matrix linguistic variable

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