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 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.