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Health Diagnosis Expert Advisory System on Trained Data Sets for Hyperthyroid

by V Prasad, T Srinivasa Rao, A Veera Reddy, B Chaitanya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 3
Year of Publication: 2014
Authors: V Prasad, T Srinivasa Rao, A Veera Reddy, B Chaitanya
10.5120/17799-8611

V Prasad, T Srinivasa Rao, A Veera Reddy, B Chaitanya . Health Diagnosis Expert Advisory System on Trained Data Sets for Hyperthyroid. International Journal of Computer Applications. 102, 3 ( September 2014), 40-46. DOI=10.5120/17799-8611

@article{ 10.5120/17799-8611,
author = { V Prasad, T Srinivasa Rao, A Veera Reddy, B Chaitanya },
title = { Health Diagnosis Expert Advisory System on Trained Data Sets for Hyperthyroid },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 3 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number3/17799-8611/ },
doi = { 10.5120/17799-8611 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:12.199873+05:30
%A V Prasad
%A T Srinivasa Rao
%A A Veera Reddy
%A B Chaitanya
%T Health Diagnosis Expert Advisory System on Trained Data Sets for Hyperthyroid
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 3
%P 40-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a collection of 28 pristine symptoms which are used for the identification of Hyperthyroid disease which are heartwarming to humankind. Ghastly, Hyperthyroid affect people without being noticed until the end. In this Health Diagnose Expert Advisory System (HDEAS) we proposed a method for diagnosing the Hyperthyroid disease by enabling a list of symptoms that the person is likely to suffer from. Here the diagnosis is done by the method of prediction using Trained Data Sets(TDS) and the results are compared by using suitable Data Matching Systems (DMS). The TDS are provided by Intelligent System Laboratory of K. N. Toosi University of Technology, Imam Khomeini Hospital . Proceedings of this research showed that HDEAS can be used effectively. The acquainted knowledge is represented in the diagrams, charts and tables. The database consists of four wide classifications of Thyroid Disease, with well-organized pattern structure of symptoms. By providing an affable interface, user can input the data in the questionnaire form developed. This work predicts the actual levels of the hyperthyroid in human body.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Matching System Health Expert Advisory System Knowledge Base Prediction Trained Data Sets UCI Machine Learning Data Sets.

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