This project material: Design and simulation of an expert system for treatment and diadnmosis of diseases comprises of its Abstract, introduction, literature review, methodology, result analysis, conclusion, recommendation and references.
This study investigated computer expert system on medical diagnosis and treatment as a tool to revolutionize medical profession. It was principally a case study of pneumonia, malaria and typhoid fever.
With many writers decrying how patients queue up for hours in order to receive medical treatment, and some end-up being attended to as ‘spillover’, the analyst investigated the manual system in detail with a view to finding out the need to automate the system.
Subsequently, a computer-aided program was designed to bring about improvement in the care of individual patients, taking the advantage of computer speed, storage and retrieved facilities.
The programming language employed in this work was visual Basic 6.0.
Health is generally said to be wealth. It takes healthy people to generate the wealth the nation requires for the general well being of its people. There is therefore the need for adequate Medicare especially in the area of diagnosis and treatment of diseases. Since there is a good relationship between the job output and health of the workers, a good Medicare is vital.
Unfortunately, in most developing nation (including Nigeria), this adequate Medicare is lacking due to how standard of technological know-how and manual handling of most medical problems. As observed by Lyiama H.C. and D.C. Chukwu, “very often, people in developing countries who are critically ill are rushed abroad for special treatment because it is felt that Medicare facilities at home are inadequate. This is partly because computer – aided Medicare has become a reality in many developed countries”. It is also a known fact that the production of qualified medical doctors and other medical personnel and consultants in on the increase, but his is not enough to meet the health needs of the increasing population. The ratio of patients to a doctor is still high.
TAG: expert system for medical diagnosis , online medical diagnosis expert system.
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