On Sharp Boundary Problem in Rule Based Expert Systems in the Medical Domain

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Author(s): Oladipupo O. Olufunke (Covenant University, Nigeria), Uwadia O. Charles (University of Lagos, Nigeria)and Ayo K. Charles (Covenant University, Nigeria)
Copyright: 2012
Pages: 13
Source title: Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs
Source Author(s)/Editor(s): Joseph Tan (McMaster University, Canada)
DOI: 10.4018/978-1-4666-1755-1.ch007

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

Recently, the application of the conventional rule based expert system for disease risk determination in medical domains has increased. However, a major limitation to the effectiveness of the rule based expert system approach is the sharp boundary problem that leads to underestimation or overestimation of boundary cases, which ultimately affects the accuracy of their recommendation. In this paper, an expert driven approach is used to investigate the viability of a fuzzy expert system in the determination of risk associated with coronary heart disease with regards to the sharp boundary problem in rule based expert system.

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On Sharp Boundary Problem in Rule Based Expert Systems in the Medical Domain

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