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: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2006
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| 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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| Summary: | 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. |
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