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:
Online Access:http://ir.uitm.edu.my/id/eprint/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf
http://ir.uitm.edu.my/id/eprint/933/
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spelling my.uitm.ir.9332018-10-30T07:27:53Z http://ir.uitm.edu.my/id/eprint/933/ A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf Ahlam Zaini, Ab Rahim (2006) A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim. Degree thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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
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
publishDate 2006
url http://ir.uitm.edu.my/id/eprint/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf
http://ir.uitm.edu.my/id/eprint/933/
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score 13.18916