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...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/933/ |
| _version_ | 1848802433621295104 |
|---|---|
| author | Ahlam Zaini, Ab Rahim |
| author_facet | Ahlam Zaini, Ab Rahim |
| author_sort | Ahlam Zaini, Ab Rahim |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:23:16Z |
| format | Thesis |
| id | uitm-933 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:23:16Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-9332018-10-30T07:27:53Z https://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 https://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. (2006) Degree thesis, thesis, Universiti Teknologi MARA. |
| spellingShingle | Electronic Computers. Computer Science Ahlam Zaini, Ab Rahim A web based expert system for pre-diagnosing gestational diabetes / Ahlam Zaini Ab Rahim |
| title | 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_short | 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 |
| topic | Electronic Computers. Computer Science |
| url | https://ir.uitm.edu.my/id/eprint/933/ |