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Reseach Article

A Standard Methodology for the Construction of Symptoms Ontology for Diabetes Diagnosis

by A.Jaya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 14 - Number 1
Year of Publication: 2011
Authors: A.Jaya
10.5120/1805-2291

A.Jaya . A Standard Methodology for the Construction of Symptoms Ontology for Diabetes Diagnosis. International Journal of Computer Applications. 14, 1 ( January 2011), 47-51. DOI=10.5120/1805-2291

@article{ 10.5120/1805-2291,
author = { A.Jaya },
title = { A Standard Methodology for the Construction of Symptoms Ontology for Diabetes Diagnosis },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 14 },
number = { 1 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume14/number1/1805-2291/ },
doi = { 10.5120/1805-2291 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:02:56.990094+05:30
%A A.Jaya
%T A Standard Methodology for the Construction of Symptoms Ontology for Diabetes Diagnosis
%J International Journal of Computer Applications
%@ 0975-8887
%V 14
%N 1
%P 47-51
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diabetes is a disorder that affects the way that the body uses food for energy. It is a common hormonal problem that if untreated can lead to diabetes complications such as diabetic neuropathy, kidney problems, heart problems, retinopathy and other disorders. Earlier diagnosis for diabetes can prevent the serious cases. This research work aims to diagnose or predict the diabetes in the earlier stage by using reasoner. The reasoner utilizes symptoms ontology for diagnosing the same. The symptoms ontology is a domain specific which helps to provide the possible meaningful factors which leads to diabetes. This paper aims to discuss the way of construction of Symptoms ontology for diabetes and utilization of same for Diagnosing diabetes.

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Index Terms

Computer Science
Information Sciences

Keywords

Ontology diabetes symptoms diabetes diagnosis Reasoner