Medical Diagnosis System Using Fuzzy Logic

Awotunde, Joseph B. and Matiluko, Opeyemi E. and Fatai, Olawale W. (2014) Medical Diagnosis System Using Fuzzy Logic. African Journal of Computing & ICT, 7 (2). pp. 99-106. ISSN 2006-1781

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Abstract

One of the major problems that both the developed and under-developed countries are facing is the difficulties of treating illhealth people. There is shortage of medical expertise in various hospitals, most of these countries are spending affluence of their resources to meet this challenge but still they are unable to meet the demands of providing good medical services for their people. It has become of great concern to find a lasting solution to the problem of traditional method of medical diagnostic which is characterized by inaccuracy and imprecision. Many researchers have developed several algorithms and technologies (including Fuzzy Logic, Genetic Algorithms and even Artificial Neural Network) to ensure accuracy and precision in the field of medicine which are branches of Artificial Intelligence. This paper covers the development of a medical diagnostic system using fuzzy logic; so as to enhance the accuracy and precision of medical diagnosis. The proposed medical diagnostic system was developed using Visual Prolog Programming language. The proposed system proffers solution to the enormous responsibilities of the diagnostic process carried out by medical personnel using fuzzy logic. More advance medical diagnosis system can be designed to help in the area like drugs prescription, registering of patients as well as keeping of patients’ details and records in the medical sector.

Item Type: Article
Uncontrolled Keywords: Algorithms, Expert system, Fuzzy logic, Affluence, Diagnostic system
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: OPEYEMI MATILUKO
Date Deposited: 01 Jul 2014 15:20
Last Modified: 01 Jul 2014 15:20
URI: https://eprints.lmu.edu.ng/id/eprint/185

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