DEVELOPMENT OF MALARIA PARASITE DIAGNOSIS EXPERT SYSTEM(MPDEXS) USING FUZZY LOGIC

Abstract

This research work is focused on the implementation of a Malaria Parasite Diagnosis Expert System (MPDExS) using fuzzy logic approach. The research work was necessary because of the problems of the existing system such as Malaria diagnosis can only be performed by a medical professional, late identification of malaria may lead to death. The traditional method of medical diagnosis of malaria is characterized with the problem of precision and accuracy. In view of these problems, the objectives of the study are to implement a fuzzy logic based system that can be used to diagnose malaria in the absence of medical professional, to create a system that can be used on a personal computer to diagnose malaria, thereby reducing need to visit health centre and to develop an expert system that will be used to diagnose malaria using fuzzy logic parameters such as Body Mass Index (BMI), temperature and pulse rate. The significance of the research work are it will provide non-medical experts with a useful tool for malaria diagnosis, the system can be used for the diagnosis of malaria even in the absence of a medical expert, the system will help to reduce late diagnosis of malaria. The development methodology used is waterfall model. The design methodology used is Object Oriented Analysis and design. MATLAB programming language is chosen for the implementation