ISSUE BASED AUTOMATIC REJOINDER FOR DISEASES – A CONFEDERACY BASED APPROACH

Jayanthi Manicassamy1*, Dhavachelvan P.2
1Department of Computer Science, Pondicherry University, Kalapet, Pondicherry, India
2Department of Computer Science, Pondicherry University, Kalapet, Pondicherry, India
* Corresponding Author : jmanic2@yahoo.com

Received : -     Accepted : -     Published : 21-12-2009
Volume : 1     Issue : 2       Pages : 54 - 57
Int J Bioinformatics Res 1.2 (2009):54-57
DOI : http://dx.doi.org/10.9735/0975-3087.1.2.54-57

Keywords : Bioinformatics, Biomedical, Information Extraction, Natural Language Processing (NLP), Pattern Matching
Conflict of Interest : None declared

Cite - MLA : Jayanthi Manicassamy and Dhavachelvan P. "ISSUE BASED AUTOMATIC REJOINDER FOR DISEASES – A CONFEDERACY BASED APPROACH." International Journal of Bioinformatics Research 1.2 (2009):54-57. http://dx.doi.org/10.9735/0975-3087.1.2.54-57

Cite - APA : Jayanthi Manicassamy, Dhavachelvan P. (2009). ISSUE BASED AUTOMATIC REJOINDER FOR DISEASES – A CONFEDERACY BASED APPROACH. International Journal of Bioinformatics Research, 1 (2), 54-57. http://dx.doi.org/10.9735/0975-3087.1.2.54-57

Cite - Chicago : Jayanthi Manicassamy and Dhavachelvan P. "ISSUE BASED AUTOMATIC REJOINDER FOR DISEASES – A CONFEDERACY BASED APPROACH." International Journal of Bioinformatics Research 1, no. 2 (2009):54-57. http://dx.doi.org/10.9735/0975-3087.1.2.54-57

Copyright : © 2009, Jayanthi Manicassamy and Dhavachelvan P., Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Currently species that reside in the whole world is some how directly or indirectly exaggerated by diseases which is a phenomenon of medical problem. The reason behind this concern varies which profound to be hardly identified in many cases that made us in designing architecture to provide solution to this problem in this domain. In this paper a restricted issue based rejoinder (IBR) system is described which applies simple process for information retrieving from the retained document collections. Information extraction made from the databases of Unified Medical Language System (UMLS), MedicineNet, PubMed and Medline. Natural language processing (NLP) technique which us is used by the system to rejoinder the issue using biomedical key terminologies. For diseases issues the extraction is done by using indexing on bases of species, signs or symptoms and treatments. In context, matching occurrence has been reformulated through alternative means for formulating better results. Apart from this, the convenience of adapting the system in the environment has also been symbolized through analysis.

References

[1] Jayanthi Manicassamy and P. Dhavachelvan (2009) International Journal of Recent Trends in Engineering (IJRTE), 1 (1), 550-555.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[2] Jayanthi Manicassamy and P. Dhavachelvan (2009) International Conference in Advances in Computing Communication & Control (ICAC3’09), 171-176.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[3] Miller G.A. (1990) International Journal of Lexicography, 3 (4), 235-312  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[4] O’Neil EJ., O’Neil P.E., Weikum G. (1993) ACM SIGMOD Record, 22 (2), 297- 306.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[5] Demner-Fushman D., Lin J. (2005), Proceedings of the AAAI-05 workshop on Question Answering in Restricted Domains, Pennsylvania  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[6] Marta Sabou, Chris Wroe, Carole Goble, Gilad Mishne (2005) Proceedings of the 14th international conference on World Wide Web, Chiba, Japan, 190 - 198  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[7] Richard Tzong-Han Tsai, Shih-Hung Wu, Wen-Chi Chou, Yu-Chun Lin, Ding He, Jieh Hsiang, Ting-Yi Sung and Wen-Lian Hsu (2006) BMC Bioinformatics, 7-92  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[8] Jung-jae Kim, Piotr Pezik and Dietrich Rebholz-Schuhmann (2008) MedEvi, Bioinformatics, 24 (11), 1410–1412.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[9] Arek Gladki, Pawel Siedlecki, Szymon Kaczanowski and Piotr Zielenkiewicz (2008) Bioinformatics, 24 (8), 1115– 1117  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[10] Benamara F. (2004) The WEBCOOP experiment," Proc. ACL 2004 Workshop on Question Answering in Restricted Domains, 31–38  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[11] Niu Y. and Hirst G. (2004) Proc. ACL 2004 Workshop on Question Answering in Restricted Domains, 54– 61  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[12] Moldovan D., Clark C., Harabagiu S., Mairorano S. (2003) Proceedings of the HLT-NAACL, Edmonton, Canada, 87-93  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[13] Ely J.W., Osheroff J.A., Ebell M. H. (2000) Brit. Med. J., 321, 429-432.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[14] Francois Belleau, Marc-Alexandre Nolin, Nicole Tourignly, Philippe Rigault, Jean Morissette (2008) Journal of Biomedical Informatics, 41 (5), 706- 716  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[15] Yoshimasa Tusuroka, Junlchi Tsujii and Sophia Ananiadou (2008) Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, Columbus, Ohio, 129-132  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus