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Reseach Article

Novel Survey on Ontology for Healthcare

Published on February 2016 by Shatabdi M. Bhalerao, Shilpa Kolte
International Conference on Advances in Science and Technology
Foundation of Computer Science USA
ICAST2015 - Number 2
February 2016
Authors: Shatabdi M. Bhalerao, Shilpa Kolte
d5e58289-92d1-4450-ae21-5ec98032f6a5

Shatabdi M. Bhalerao, Shilpa Kolte . Novel Survey on Ontology for Healthcare. International Conference on Advances in Science and Technology. ICAST2015, 2 (February 2016), 9-12.

@article{
author = { Shatabdi M. Bhalerao, Shilpa Kolte },
title = { Novel Survey on Ontology for Healthcare },
journal = { International Conference on Advances in Science and Technology },
issue_date = { February 2016 },
volume = { ICAST2015 },
number = { 2 },
month = { February },
year = { 2016 },
issn = 0975-8887,
pages = { 9-12 },
numpages = 4,
url = { /proceedings/icast2015/number2/24224-3014/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Science and Technology
%A Shatabdi M. Bhalerao
%A Shilpa Kolte
%T Novel Survey on Ontology for Healthcare
%J International Conference on Advances in Science and Technology
%@ 0975-8887
%V ICAST2015
%N 2
%P 9-12
%D 2016
%I International Journal of Computer Applications
Abstract

Ontology acts as an important technique for many real world applications and this paper presents some of ontology-based approaches. This paper describes how ontology is modeled, implemented and used in healthcare domain. Ontology is an important emerging rule that has the huge potential to improve information organization, management, and understanding. The documented structure of ontology makes it a natural approach for information retrieval with relevant data. However, the construction of ontology is still time-consuming and error prone for Medical practitioners in Healthcare Domain. One recent development that aims to remedy this situation is the introduction of ontology design patterns, codifying best practices and promoting reuse. This paper presents a literature survey into the state of research on ontology patterns and how it is useful for saving patient's life.

References
  1. NekaneLarburu, Richard G. A. Bults, Marten J. Van Sinderen, (Member, IEEE),"An Ontology for Telemedicine Systems Resiliency to Technological Context Variations in Pervasive Healthcare", 12 August 2015.
  2. Mark Roantree, Jim O' Donoghue, Martin van Boxtel, Sebastian Kohler, "Automating the Integration of Clinical Studies into Medical Ontologies", 2014.
  3. Tejal Shah, FethiRabhi, Pradeep Ray Kerry Taylor, "A Guiding Framework for Ontology Reuse in the Biomedical Domain", 2014.
  4. Yanhao Huang and Xiaoxin Zhou, "Knowledge Model for Electric Power Big Data Based on Ontology and Semantic Web", VOL. I, NO. I, MARCH 2015
  5. JieTao, Amit V. Deokar, Omar F. El. Gayar,"An Ontology-based Information Extraction (OBIE) Framework for Analyzing Initial Public Offering (IPO) Prospectus", 2014.
  6. Arnaud Rosier, Member, IEEE, Philippe Mabo, Michel Chauvin, and Anita Burgun "An Ontology-Based Annotation of Cardiac Implantable Electronic Devices to Detect Therapy Changes in a National Registry", VOL. 19, NO. 3, MAY 2015.
  7. Dipali Panchal, SharvariGovilkar, "Knowledge Extraction for Semantic Web using Web Mining with Ontology",Vol 108-No 7,Dec 2014.
  8. N. Larburu, R. G. A. Bults,"Quality of data computational models and telemedicine treatment effects", 16th Int. Conf. 364-369,Oct 2014.
  9. E. Erdmann, N. Freemantle, D. Ph. D. Gras, L. Kappenberger, L. Tavazzi " The Effects Of Cardiac resynchronization on morbidity and mortality in heart failure",Vol 352,No 15, April 2005.
  10. M. Yuksel, A. Dogac "Interoperability of Medical Device Information and Clinical Application",VOL. 15, NO. 4, JULY 2011.
  11. AnjumAshiz, "The Requirements of Ontologies in Medical Data Integration: A Case Study", 2007.
  12. Ding, Yihong(Springer), "Generating Ontologies via Language Components and Ontology Reuse", 131-142, 2007
  13. G. J. Li, X. Q. Chen, "research Status and scientific thinking of Big Data", VOL. 27, NO. 6, Dec 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Knowledge Extraction Keyword Matching Method Knowledge Theory Model.