International Journal of Scientific and Research Publications

About Us
Editorial Board

Online Publication

Review Process
Publication Ethics

Call For Papers

Call for Research Paper


Online Submission
Paper Submission Guidelines
Online Publication Charge
Print Publication Charge
How to publish research paper
Publication Certificate
Research Catalogue


Join Reviewer Panel
Reviewer Guidelines

IJSRP Publications

Print Journal


IJSRP Paper Format

Contact Us

Feedback Form
Contact Us
Site Map

IJSRP, Volume 11, Issue 6, June 2021 Edition [ISSN 2250-3153]

      W.K.D. Jayamini, K.G.H.D. Weerasinghe

Abstract: This research was carried out to compare the applicability of machine learning techniques in a way to support decision making in Thyroid disease diagnosis. In this research work, two types of machine learning algorithms; Multilayer perceptron Neural Network with Back-propagation and Random Forest were used, and a comparison of their performance was done to identify the most suitable machine learning algorithm which can be used to assist the diagnostic process of Thyroid diseases. Each of the models developed under the two machine learning techniques were trained and tested using two thyroid datasets from the UCI machine learning repository. The performance of the models was evaluated using the performance measures, Accuracy (%), Mean Absolute Error, Root Mean Squared Error, True Positive rate, False Positive rate, Precision and Recall.

[Reference this Paper]   [BACK]

Ooops! It appears you don't have a PDF plugin for this barrPostingser. you can click here to download the PDF file.

Reference this Research Paper (copy & paste below code):

W.K.D. Jayamini, K.G.H.D. Weerasinghe (2021); Decision Support for Diagnosing Thyroid Diseases using Machine Learning; International Journal of Scientific and Research Publications (IJSRP) 11(6) (ISSN: 2250-3153), DOI:



About Us
Editorial Board
Call for Paper

Call for Research Paper
Paper Status
IJSRP Paper Format
Join Us

Download e-journal
Join Forum
Invite Friends
Get Social with Us!

Copyright © 2011-2021, IJSRP Inc., All rights reserved.