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Reseach Article

A Comparison of Supervised Multilayer Back Propagation and Unsupervised Self Organizing Maps for the Diagnosis of Thyroid Disease

by Arpneek Kaur, Narpat Singh, Abhishek Bahrdwaj
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 13
Year of Publication: 2013
Authors: Arpneek Kaur, Narpat Singh, Abhishek Bahrdwaj
10.5120/14180-2438

Arpneek Kaur, Narpat Singh, Abhishek Bahrdwaj . A Comparison of Supervised Multilayer Back Propagation and Unsupervised Self Organizing Maps for the Diagnosis of Thyroid Disease. International Journal of Computer Applications. 82, 13 ( November 2013), 39-43. DOI=10.5120/14180-2438

@article{ 10.5120/14180-2438,
author = { Arpneek Kaur, Narpat Singh, Abhishek Bahrdwaj },
title = { A Comparison of Supervised Multilayer Back Propagation and Unsupervised Self Organizing Maps for the Diagnosis of Thyroid Disease },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 13 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number13/14180-2438/ },
doi = { 10.5120/14180-2438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:41.460651+05:30
%A Arpneek Kaur
%A Narpat Singh
%A Abhishek Bahrdwaj
%T A Comparison of Supervised Multilayer Back Propagation and Unsupervised Self Organizing Maps for the Diagnosis of Thyroid Disease
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 13
%P 39-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Artificial Neural Networks have been widely used for the purpose of medical diagnosis in the last decades. The diagnosis of diseases such as thyroid using artificial neural networks is an important research area because of the need of more and more accuracy in the crucial process of disease diagnosis. This paper presents a comparison of two artificial neural network algorithms viz. Multilayer Back Propagation (BPN) - a supervised approach and Self Organizing Maps (SOM) - an unsupervised approach for the diagnosis of thyroid disease using real patient data. It has been found in this study that the results of unsupervised SOM network performed equally well with 100% accuracy as the supervised BPN network in less training time but with a comparatively large percentage of training data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Thyroid disease diagnosis Supervised and Unsupervised approach Back Propagation Networks Self Organizing Maps.