Dengue classification system using clonal selection algorithm / Karimah Mohd

Dengue remains to be significant public health concern in tropical climate country including Malaysia. As the number of dengue cases is increasing faster in Malaysia, more work need to be done in order to prevent it. Dengue classification and detectionsystem will classify if a person have dengue or...

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Main Author:	Mohd, Karimah
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Public health Hygiene Preventive Medicine Communicable diseases and public health Dengue
Online Access:	https://ir.uitm.edu.my/id/eprint/35037/1/35037.pdf
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id	my-uitm-ir.35037
record_format	uketd_dc
spelling	my-uitm-ir.350372020-10-07T07:52:40Z Dengue classification system using clonal selection algorithm / Karimah Mohd 2012-07 Mohd, Karimah Public health. Hygiene. Preventive Medicine Communicable diseases and public health Dengue Dengue remains to be significant public health concern in tropical climate country including Malaysia. As the number of dengue cases is increasing faster in Malaysia, more work need to be done in order to prevent it. Dengue classification and detectionsystem will classify if a person have dengue or not based on symptoms. This project focused on three main objectives: to investigate dengue data and Clonal Selection Algorithm for classification of Dengue, to design and develops Clonal Selection Classification System (CSCS) and to evaluate Clonal Selection Classification System symptoms. Some popular intelligent techniques like Genetic Algorithm, Fuzzy Logic and Artificial Neural Network are often used by reasearcher to perform classifcation problems. At this point, Artificial Immune System (AIS) is one of the inspired biology technique which provide effective solutions for optimization and classificaton problems. One of AIS Algorithm is Clonal Selection Algorithm (CSA) is to classify dengue disease is a suitable to solve classification problem in this project . The rules generated from the training of the dengue data are embedded in the prototype of the classifiction system. Some of the dengue data are used to test the dengue classification system to produce the classification accuracy. The expected end is to automatically generate dengue classification. The evaluation conducted in this project has shown a promising accuracy. This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems. 2012-07 Thesis https://ir.uitm.edu.my/id/eprint/35037/ https://ir.uitm.edu.my/id/eprint/35037/1/35037.pdf text en public degree Universiti Teknologi MARA Faculty of Computer & Mathematical Sciences Puteh, Mazidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Puteh, Mazidah
topic	Public health Hygiene Preventive Medicine Communicable diseases and public health Dengue
spellingShingle	Public health Hygiene Preventive Medicine Communicable diseases and public health Dengue Mohd, Karimah Dengue classification system using clonal selection algorithm / Karimah Mohd
description	Dengue remains to be significant public health concern in tropical climate country including Malaysia. As the number of dengue cases is increasing faster in Malaysia, more work need to be done in order to prevent it. Dengue classification and detectionsystem will classify if a person have dengue or not based on symptoms. This project focused on three main objectives: to investigate dengue data and Clonal Selection Algorithm for classification of Dengue, to design and develops Clonal Selection Classification System (CSCS) and to evaluate Clonal Selection Classification System symptoms. Some popular intelligent techniques like Genetic Algorithm, Fuzzy Logic and Artificial Neural Network are often used by reasearcher to perform classifcation problems. At this point, Artificial Immune System (AIS) is one of the inspired biology technique which provide effective solutions for optimization and classificaton problems. One of AIS Algorithm is Clonal Selection Algorithm (CSA) is to classify dengue disease is a suitable to solve classification problem in this project . The rules generated from the training of the dengue data are embedded in the prototype of the classifiction system. Some of the dengue data are used to test the dengue classification system to produce the classification accuracy. The expected end is to automatically generate dengue classification. The evaluation conducted in this project has shown a promising accuracy. This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems.
format	Thesis
qualification_level	Bachelor degree
author	Mohd, Karimah
author_facet	Mohd, Karimah
author_sort	Mohd, Karimah
title	Dengue classification system using clonal selection algorithm / Karimah Mohd
title_short	Dengue classification system using clonal selection algorithm / Karimah Mohd
title_full	Dengue classification system using clonal selection algorithm / Karimah Mohd
title_fullStr	Dengue classification system using clonal selection algorithm / Karimah Mohd
title_full_unstemmed	Dengue classification system using clonal selection algorithm / Karimah Mohd
title_sort	dengue classification system using clonal selection algorithm / karimah mohd
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/35037/1/35037.pdf
_version_	1783734287230566400

Dengue classification system using clonal selection algorithm / Karimah Mohd

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