MATEC Web of Conferences
Volume 49, 20162016 6th International Conference on Chemistry and Chemical Process (ICCCP 2016)
|Number of page(s)||4|
|Published online||19 April 2016|
Comparison between SARS CoV and MERS CoV Using Apriori Algorithm, Decision Tree, SVM
1 Natural Science, Hankuk Academy of Foreign Studies, HAFS, Yongin-si, Republic of Korea
2 Department of Computer Science and Engineering, Korea University, KU, Seoul, Republic of Korea
a Corresponding author: firstname.lastname@example.org
MERS (Middle East Respiratory Syndrome) is a worldwide disease these days. The number of infected people is 1038(08/03/2015) in Saudi Arabia and 186(08/03/2015) in South Korea. MERS is all over the world including Europe and the fatality rate is 38.8%, East Asia and the Middle East. The MERS is also known as a cousin of SARS (Severe Acute Respiratory Syndrome) because both diseases show similar symptoms such as high fever and difficulty in breathing. This is why we compared MERS with SARS. We used data of the spike glycoprotein from NCBI. As a way of analyzing the protein, apriori algorithm, decision tree, SVM were used, and particularly SVM was iterated by normal, polynomial, and sigmoid. The result came out that the MERS and the SARS are alike but also different in some way.
© Owned by the authors, published by EDP Sciences, 2016
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