Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab

“Dengue is a mosquito-borne tropical disease caused by the dengue virus. Dengue is spread by several species of female mosquitoes of the Aedes genus which is Aedes aegypti.” However, the dengue symptoms have many similarities with other diseases likes malaria. In addition, the diagnosis dengue manua...

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Main Author:	Abdul Wahab, NurHazirah
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Electronic Computers Computer Science Database management Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/58873/1/58873.pdf
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id	my-uitm-ir.58873
record_format	uketd_dc
spelling	my-uitm-ir.588732022-07-28T08:09:35Z Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab 2022-01 Abdul Wahab, NurHazirah Electronic Computers. Computer Science Database management Fuzzy logic “Dengue is a mosquito-borne tropical disease caused by the dengue virus. Dengue is spread by several species of female mosquitoes of the Aedes genus which is Aedes aegypti.” However, the dengue symptoms have many similarities with other diseases likes malaria. In addition, the diagnosis dengue manually may occur some human error which make the diagnosis dengue is inaccurate. This paper is presents the used of fuzzy expert system in diagnosis the disease with the objectives to identify clinically-known dengue symptoms, develop the diagnosis system using MATLAB and Fuzzy Logic Toolbox, and classify the dengue symptoms from the information received. The methodology of this paper is waterfall model which is life cycle of the system development (SDLC). Moreover, the paper is about the development of system to help doctor to diagnosis dengue symptoms more efficient. The development of dengue diagnosis using fuzzy expert will improve the work capability for all the doctors because the system help in the diseases analysis with more accurate and efficient. The technique Mamdani fuzzy inferences is the most suitable in development of the system because this system need output membership function. 2022-01 Thesis https://ir.uitm.edu.my/id/eprint/58873/ https://ir.uitm.edu.my/id/eprint/58873/1/58873.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Electronic Computers Computer Science Database management Fuzzy logic
spellingShingle	Electronic Computers Computer Science Database management Fuzzy logic Abdul Wahab, NurHazirah Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab
description	“Dengue is a mosquito-borne tropical disease caused by the dengue virus. Dengue is spread by several species of female mosquitoes of the Aedes genus which is Aedes aegypti.” However, the dengue symptoms have many similarities with other diseases likes malaria. In addition, the diagnosis dengue manually may occur some human error which make the diagnosis dengue is inaccurate. This paper is presents the used of fuzzy expert system in diagnosis the disease with the objectives to identify clinically-known dengue symptoms, develop the diagnosis system using MATLAB and Fuzzy Logic Toolbox, and classify the dengue symptoms from the information received. The methodology of this paper is waterfall model which is life cycle of the system development (SDLC). Moreover, the paper is about the development of system to help doctor to diagnosis dengue symptoms more efficient. The development of dengue diagnosis using fuzzy expert will improve the work capability for all the doctors because the system help in the diseases analysis with more accurate and efficient. The technique Mamdani fuzzy inferences is the most suitable in development of the system because this system need output membership function.
format	Thesis
qualification_level	Bachelor degree
author	Abdul Wahab, NurHazirah
author_facet	Abdul Wahab, NurHazirah
author_sort	Abdul Wahab, NurHazirah
title	Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab
title_short	Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab
title_full	Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab
title_fullStr	Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab
title_full_unstemmed	Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab
title_sort	diagnosis of dengue using fuzzy expert / nurhazirah abdul wahab
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/58873/1/58873.pdf
_version_	1783735005386637312

Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab

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