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Home  >  Volume 31 (July 2015)

Fuzzy Logic Diagnostic System for Disease Detection by Daodu S. S., Ukaoha K. C., James T. R. and Amadin I. F.(pages 123-128)
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Abstract

A major problem in medical diagnosis is precision and accuracy. The traditional medical diagnosis method is characterized with the aforementioned problem. The advent of computers has led to the development of several algorithms and technologies to ensure accuracy and precision. One such technology is fuzzy logic- an integral part of Artificial Intelligence. In this work, we proposed a medical diagnostic system using fuzzy logic which would enhance the accuracy and precision of the entire system. The focus of the work is on malaria diagnosis and the system was developed using Visual Prolog Programming Language.

Keywords: Fuzzy Logic, Expert System, Medical diagnosis, Artificial Intelligence, Soft Computing.

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