Fuzzy rule-based framework for the management of tropical diseases
by Okure U. Obot, Faith-Michael E. Uzoka
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 1, No. 1, 2008

Abstract: The application of the conventional symbolic rules found in knowledge base technology to the management of a disease suffers from its inability to evaluate the degree of severity of a symptom and by extension, the degree of the illness. Fuzzy logic technology provides a simple way to arrive at a definite conclusion from vague, ambiguous, imprecise and noisy data (as found in medical data) using linguistic variables that are not necessarily precise. In order to achieve this, a study of a knowledge base system for the management of diseases was undertaken. The root sum square of drawing inference was employed to infer the data from the rules developed. This resulted in the establishment of some degrees of influence on the diseases. Using malaria as a case study, a system that uses Visual Basic .Net development environment was developed and the results of the computations are presented in this research.

Online publication date: Sun, 13-Jul-2008

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