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.