Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of , 2009-05-17

Title : ( Comparison of several ANN architectures on the Thyroid diseases grades diagnosis )

Authors: Modjtaba Rouhani , Kamran Mansouri ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Abstract

Nowadays, with advancement of technology and science and expansion of computer usage in high-tech calculations, especially in the field of medicine, intelligence systems and in particular ANN are becoming of significant importance in automatic diagnosis and prognoses of different diseases. In this article, we have used several ANN architectures (namely RBF, PNN, LVQ) and SVMs, diagnosing thyroid diseases. As the degree of disease development is a critical parameter in medical treatment, we design those networks to classify the grade of diseases, too. The performance of each of them has studied and the best method is selected for each of classification tasks. The overall accuracy of diagnosis system is near 99%.

Keywords

Thyroid diseases grades diagnosis
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@inproceedings{paperid:1053444,
author = {Rouhani, Modjtaba and Kamran Mansouri},
title = {Comparison of several ANN architectures on the Thyroid diseases grades diagnosis},
booktitle = {Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of},
year = {2009},
location = {Singapore},
keywords = {Thyroid diseases grades diagnosis},
}

[Download]

%0 Conference Proceedings
%T Comparison of several ANN architectures on the Thyroid diseases grades diagnosis
%A Rouhani, Modjtaba
%A Kamran Mansouri
%J Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of
%D 2009

[Download]