  A successful intelligent control of patient food for treatment purpose must
combines patient interesting food list and doctors efficient treatment food
list. Actually, many rural communities in Sudan have extremely limited access
to diabetic diet centers. People travel long distances to clinics or medical
facilities, and there is a shortage of medical experts in most of these
facilities. This results in slow service, and patients end up waiting long
hours without receiving any attention. Hence diabetic diet expert systems can
play a significant role in such cases where medical experts are not readily
available. This paper presents the design and implementation of an intelligent
medical expert system for diabetes diet that intended to be used in Sudan. The
development of the proposed expert system went through a number of stages such
problem and need identification, requirements analysis, knowledge acquisition,
formalization, design and implementation. Visual prolog was used for designing
the graphical user interface and the implementation of the system. The proposed
expert system is a promising helpful tool that reduces the workload for
physicians and provides diabetics with simple and valuable assistance.
