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has been cited by the following article:

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

  AUTHORS: Chaewon Ham, Haeun Jung, Taeseon Yoon

  KEYWORDS: Rhinovirus, RSV, HVJ, HCoV, Vaccine

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.3 No.6, June 13, 2015

  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.