A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim

Medical area has a lot of contribution in revealing any particulars about the medicine such as type of disease, implication of a disease and also some prediction of having a disease. This research uses rule^based expert system representation and techniques to solve and make a pre-diagnosis of hav...

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Main Author:	Ahlam Zaini, Ab Rahim
Format:	Thesis
Language:	English
Published:	2006
Subjects:	Electronic Computers Computer Science
Online Access:	https://ir.uitm.edu.my/id/eprint/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf
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id	my-uitm-ir.933
record_format	uketd_dc
spelling	my-uitm-ir.9332018-10-30T07:27:53Z A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim 2006 Ahlam Zaini, Ab Rahim Electronic Computers. Computer Science Medical area has a lot of contribution in revealing any particulars about the medicine such as type of disease, implication of a disease and also some prediction of having a disease. This research uses rule^based expert system representation and techniques to solve and make a pre-diagnosis of having gestational diabetes (GD) among pregnant women. After several times taken in understanding the domain subject, the researcher listed a set of risk factors and common symptoms, conducted some interviews with some experts in order to get the solution of handling GD and uncertainty management through web-based expert system. Each phase of the research methodology was gone through in order to have and analyze the effectiveness of pre-diagnosing through the web based application. 2006 Thesis https://ir.uitm.edu.my/id/eprint/933/ https://ir.uitm.edu.my/id/eprint/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf text en public degree Universiti Teknologi MARA Faculty of Information Technology and Quantitative Science
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Electronic Computers Computer Science
spellingShingle	Electronic Computers Computer Science Ahlam Zaini, Ab Rahim A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim
description	Medical area has a lot of contribution in revealing any particulars about the medicine such as type of disease, implication of a disease and also some prediction of having a disease. This research uses rule^based expert system representation and techniques to solve and make a pre-diagnosis of having gestational diabetes (GD) among pregnant women. After several times taken in understanding the domain subject, the researcher listed a set of risk factors and common symptoms, conducted some interviews with some experts in order to get the solution of handling GD and uncertainty management through web-based expert system. Each phase of the research methodology was gone through in order to have and analyze the effectiveness of pre-diagnosing through the web based application.
format	Thesis
qualification_level	Bachelor degree
author	Ahlam Zaini, Ab Rahim
author_facet	Ahlam Zaini, Ab Rahim
author_sort	Ahlam Zaini, Ab Rahim
title	A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim
title_short	A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim
title_full	A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim
title_fullStr	A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim
title_full_unstemmed	A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim
title_sort	web based expert system for pre-diagnosing gestational diabetes / ahlam zaini ab rahim
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Information Technology and Quantitative Science
publishDate	2006
url	https://ir.uitm.edu.my/id/eprint/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf
_version_	1783732966386565120

A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim

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