Comparison between SARS CoV and MERS CoV Using Apriori Algorithm, Decision Tree, SVM

• Published in: MATEC Web of Conferences Vol. 49; p. 08001
• Main Authors: Jang, Seongpil, Lee, Seunghwan, Choi, Seong-Min, Seo, Junwon, Choi, Hunseok, Yoon, Taeseon
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 01.01.2016
• Subjects: Algorithms; Breathing; Decision analysis; Decision trees; Engineering (General). Civil engineering (General); Fever; Glycoproteins; Proteins; Respiratory diseases; Severe acute respiratory syndrome; TA1-2040; Middle East
• ISSN: 2261-236X; 2274-7214; 2261-236X
• DOI: 10.1051/matecconf/20164908001

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.