Journal of Biosciences and Medicines

Volume 3, Issue 6 (June 2015)

ISSN Print: 2327-5081   ISSN Online: 2327-509X

Google-based Impact Factor: 0.51  Citations  

Analysis and Comparison about the Common Remedy of Respiratory Viruses through Data Mining

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DOI: 10.4236/jbm.2015.36009    3,267 Downloads   4,092 Views  

ABSTRACT

Respiratory diseases have a large proportion among those various diseases. Among those, the main diseases that we are now dealing with are viruses which have no majority vaccine found: Human Rhinovirus 14 (HRV), Human Coronavirus OC43 (HCoV), Respiratory Syncytial Virus (RSV), and Human Para influenza virus 1(HVJ). Even though the body can cure most of these viruses by itself, there are some incidents which end up with death. Starting an experiment with those reasons, we separated viruses by the basic symptoms and appearances, and by using data mining, we found similarities and differences of various sequences. As a result, having a high frequency, decision tree prove that each sequences are too different from each other, but still decision tree only shows the difference of the sequences. According to apriori algorithm, it could be able to find a remedy which can block amino acid L, Leucine.

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Ham, C. , Jung, H. and Yoon, T. (2015) Analysis and Comparison about the Common Remedy of Respiratory Viruses through Data Mining. Journal of Biosciences and Medicines, 3, 54-59. doi: 10.4236/jbm.2015.36009.

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