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E-Healthcare Decision Support System based on Ontology Learning: A Conceptual Model

by Nitesh Vyas, P. R. Pal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 9
Year of Publication: 2012
Authors: Nitesh Vyas, P. R. Pal
10.5120/9575-4050

Nitesh Vyas, P. R. Pal . E-Healthcare Decision Support System based on Ontology Learning: A Conceptual Model. International Journal of Computer Applications. 59, 9 ( December 2012), 12-16. DOI=10.5120/9575-4050

@article{ 10.5120/9575-4050,
author = { Nitesh Vyas, P. R. Pal },
title = { E-Healthcare Decision Support System based on Ontology Learning: A Conceptual Model },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 9 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number9/9575-4050/ },
doi = { 10.5120/9575-4050 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:03:43.149840+05:30
%A Nitesh Vyas
%A P. R. Pal
%T E-Healthcare Decision Support System based on Ontology Learning: A Conceptual Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 9
%P 12-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

E-health care decision support system is developed for the purpose of improving the health care services and control over patient's health. The system facilitates quick accessed and specialized health care services, of course, depending upon the patient's or case history by reducing the visit time to medical institutions. It provides the health care specialist a fast and up to date patient health data, thus reducing the documentation and formalities and increasing the usability of the information more effectively and reliably by the medical institutions. Healthcare institutions are designed to target the patients to deliver proper services. There is a wealth of data available within the healthcare systems but they lack effective analysis tools to discover hidden relationships and trends in data. Ontologies enable high scalability in searching, extracting, maintaining and generating information.

References
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Index Terms

Computer Science
Information Sciences

Keywords

e-healthcare Ontology Ontology learning Knowledge Management Knowledge Engineering Protégé

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