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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| Format: | Thesis |
| Language: | en |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf https://ir.uitm.edu.my/id/eprint/933/ |
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| _version_ | 1833057990974898176 |
|---|---|
| author | Ahlam Zaini, Ab Rahim |
| author_facet | Ahlam Zaini, Ab Rahim |
| author_sort | Ahlam Zaini, Ab Rahim |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uitm.ir-933 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2006 |
| record_format | eprints |
| spelling | my.uitm.ir-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 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/933/1/TB_AHLAM%20ZAINI%20AB%20RAHIM%20CS%2006_5%20P01.pdf https://ir.uitm.edu.my/id/eprint/933/ |
| url_provider | http://ir.uitm.edu.my/ |