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Dental Expert System

Oladele Tinuke O, Sanni Yetunde Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2015
© 2013 by IJAIS Journal
10.5120/ijais14-451270
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  1. Oladele Tinuke O and Sanni Yetunde. Article: Dental Expert System. International Journal of Applied Information Systems 8(2):1-15, January 2015. BibTeX

    @article{key:article,
    	author = "Oladele Tinuke O and Sanni Yetunde",
    	title = "Article: Dental Expert System",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 8,
    	number = 2,
    	pages = "1-15",
    	month = "January",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

The early 20th century brought along a better understanding of dental disease and prevention. However, advancement in computer technology has encouraged researchers to develop software for assisting doctors in making decision without consulting the specialists directly. Software development exploits the potential of human intelligence such as reasoning, making decision, learning by experience and many others. The software was not meant to replace the specialist or doctor, yet it was developed to assist general practitioners and specialist in diagnosing and predicting patient's condition from certain rules or experience. The goal of this paper is to demonstrate the practical applicability of Information and Communication Technology (ICT) for the diagnosis of dental ailments based on a set of symptoms. Expert system is a computer system that emulates the decision-making ability of a human expert. Expert system in medical applications reduces cost, time, human expertise and medical error. This paper on Dental Expert System is a desktop based application designed to replace the manual system used by most Medical organizations in treatment. This paper is aimed at emphasizing on the use of expert systems to diagnose mild dental problems. In this paper, the ED Expert System which is referred to as Electronic Dentist was developed based on the Coactive Neuro-Fuzzy Expert System Model and implemented by using C# programming language. The expert system is a simple and user friendly desktop application which could be used by anyone so as to complement the manual process of diagnosis.

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Keywords

Expert System, Dentist, Patient, Dental Diseases, Fuzzy Logic