Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana
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10.5120/16102-5353 |
Quashie Duodu, Joseph Kobina Panford and James Ben Hayfron-acquah. Article: Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana. International Journal of Computer Applications 91(17):22-28, April 2014. Full text available. BibTeX
@article{key:article,
author = {Quashie Duodu and Joseph Kobina Panford and James Ben Hayfron-acquah},
title = {Article: Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {91},
number = {17},
pages = {22-28},
month = {April},
note = {Full text available}
}
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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