Design and Implementation of A Knowledge-Based Typhoid Fever Diagnosis Expert Advisor Using Forward Chaining Inference Mechanism
Journal Title: Scholars Journal of Engineering and Technology - Year 2016, Vol 4, Issue 5
Abstract
Abstract:The medical field is experiencing setbacks, medical cases almost always seems to outnumber the number of medical experts required to attend to them. This in part is due to lack of qualified doctors to handle specialize cases. Inefficient medical expert to diagnose and properly treat typhoid fever has significantly increased mortality and morbidity rate in both infant and adult resulting from the ailment. The objective of this project therefore is to Design a Rule-Based Expert System that will offer proper diagnosis and prescribe appropriate medication for patients. The shell of the Expert System developed in this project uses the Forward Chaining Inference Algorithm (Mechanism), a technique that has been neglected by many expert system developers in the medical field. Oral and written interview was adopted to acquire knowledge from experts in the domain and get insight into the required information needed for the development of the system. Java programming language and its related technology were used in the development of the system based on its functionality of platform independence. We employed Derby's database engine for our database design. Derby's database engine is a full-functioned relational embedded database-engine which supports JDBC and SQL as programming APIs. The System was tested and also evaluated by users of the System and was considered satisfactory. The researcher recommends that user training and technical support team should be in place. Keywords:typhoid fever, Algorithm, Java programming language, qualified doctors.
Authors and Affiliations
Ele, Sylvester I . , A. O. Ofem . , Egete, D. O, Paulina Ackley Akpan Idiok
Keywords
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