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IJIET 2015 Vol.5(2): 131-135 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.489

Deeper Understanding of Norovirus and Astrovirus by Analyzing Genome and Coding Sequences Using Apriori Algorithm

Eun-Young Kim, Min-Ji Kim, Eun-Ki Hong, Ye-Rim Cho, and Tae-Seon Yoon

Abstract—Norovirus infection is an epidemic stomach disorder caused by norovirus. Humans can be infected by norovirus regardless of age, gender and location. Infection is now occurring sporadically throughout the world. Norovirus maintains its infectiousness even after being heated in 60 degrees Celsius for 30 minutes. Symptoms of norovirus infection include diarrhea, stomach, vomiting, and nausea. Although astrovirus is less known than norovirus, it also causes the very similar symptoms as norovirus. Norovirus causes dehydration, pyrexy, drowsiness, diarrhea, and etc.
Furthermore, both viruses do not have specific antiviral agents. For the research, our goal is to compare and contrast norovirus and astrovirus for deeper understanding; we seek for any possibilities of connections in the treatment of the two viruses by using Apriori algorithm. Finding any relationship between the treatments of two viruses will devote to the overall enhancement of the health of humankind.

Index Terms—Norovirus, astrovirus, fasta, apriori algorithm.

The authors are with Hankuk Academic of Foreign Studies, Yongin, Korea (e-mail: 96eun@naver.com, mjkim961001@naver.com, sylviaeunki@ naver.com, dpfla4148@ naver.com, tsyoon@hafs.hs.kr).

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Cite: Eun-Young Kim, Min-Ji Kim, Eun-Ki Hong, Ye-Rim Cho, and Tae-Seon Yoon, "Deeper Understanding of Norovirus and Astrovirus by Analyzing Genome and Coding Sequences Using Apriori Algorithm," International Journal of Information and Education Technology vol. 5, no. 2, pp. 131-135, 2015.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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