Health self-assessment rule-based expert system / Wan Ahmad Mujib Wan Hamdy

In Malaysia, the level of health conscious is can be considered quite low and usually
when diagnostician a health problem is usually done by the doctors. There is also
other ways to do a self-diagnosis by reading a books, magazine or from Internet.
Therefore new tools of diagnose is needed to solve the problem. The title for this
project is Health Self-Assessment Rule-Based Expert System. The system is a Webbased
system that can provide an online diagnosis through questionnaire for the
users where much faster and easier than reading books or magazines. The system is
not to replace the expertise of the doctors but it will be a new way of diagnosis.
There are three objectives in the research to be fulfilled. The first objective is to do
research and analyze facts on the health problems in Malaysia. The second objective
is to produce set of rules based on the facts that been researched and analyzed. The
last objective is to develop rule-based expert system where the system can perform
forward chaining technique that can accept the input and produce the output for
users. The main components of the rule-based which are the inference engine and
the knowledge base are able to function and produce output. The rules that been
created had been combine with scoring model called weighted average. The function
of the scoring model is to calculate the percentage for the output. Even-though the
expert system manage to meet the setting objectives, there are still limitation that
can be found affect the system. The solution to overcome the limitation is by
expanding the ability of the system. As suggested, the future expansion is to add up
three components which are the developer interface, conflict resolution and
uncertainty management.