|
Title:
|
DESIGNING AN EXPERT SYSTEM OF LIVER DISORDERS BY USING NEURAL NETWORK AND COMPARING IT WITH PARAMETRIC AND NONPARAMETRIC SYSTEM |
|
Author(s):
|
Mehdi Neshat , Mehdi Yaghobi , Mohammad Naghibi |
|
ISBN:
|
978-972-8924-60-7 |
|
Editors:
|
António Palma dos Reis |
|
Year:
|
2008 |
|
Edition:
|
Single |
|
Keywords:
|
Medical expert system, neural network, Bayesian theory, parametric method, liver disorder |
|
Type:
|
Short Paper |
|
First Page:
|
202 |
|
Last Page:
|
206 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
In this essay, we are going to design a medical expert system by using neural network. In order to test the system, we
used the data in the intended bank e.g. BUPA liver disorders. We compare the operation of the system with parametric
methods like Bayesian decision making theory- and non parametric methods. By analysis of the data, we first
discovered an undesirable field in the bank which causes to decrease learning rate of the system. When we omitted this
field, we concluded very good results. By comparing the three above systems, we concluded that the neural network has
the best operation by 86% effect in liver disorder diagnosis. This result has also been improved so far. |
|
|
|
|
|
|
