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No. of pages: 72
No. of chapters: 5

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Abstract:

Nigeria. a country in the tropics, is not free from tropical diseases. The commonest ones being malaria, typhoid and tuberculosis. Malaria alone results in over 300,000 deaths every year. Adding to this, there is a serious shortage of Doctors. A survey by the World Health Organization has shown that there is approximately I Doctor to about 2,660 Nigerians. Due to this, the Health sector is stressed beyond its carrying capacity and Doctors cannot perform at their best. Nigerians are discouraged from going to the hospital because when they do, they meet with unending queues and angry health personnel. These result in self-medication, drug abuse and deaths.

Several works have been developed to aid diagnosing of tropical diseases using fuzzy logic. This work developed an Android-based solution to shorten patient waiting time. Artificial Intelligence is being applied in several endeavours including medicine. These Systems have shown greater accuracy than experts in the fields where they serve. This performance benefit should also be harnessed for the diagnosis and management of tropical diseases in Nigeria.

This project develops an Android-based expert system for the diagnosis of some tropical diseases using hybridization of Fuzzy logic and Analytic Hierarch) Process. At the knowledge acquisition stage, questionnaires were administered to medical doctors at four hospitals. Fuzzy rules were extracted from the questionnaires using a method called Learning from Example. The system was designed on MATLAB and FuzzyTECH software. Subsequently, it was implemented on the Android platform using Java programming language and XML.

An evaluation was done by comparing the sensitivity and consultation time of the developed system to that of medical doctors. The system showed 72% sensitivity compared to 62'Yo of medical doctors and consultation time was reduced by up to 15%. This study has shown that an Android-based Fuzzy-AHP diagnosis system can help to reduce the stress on the health sector in Nigeria and other developing countries thereby reducing mortality due to tropical diseases.