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Comparative Study Based on Famous Clustering Algorithms of Non-communicable Disease Prevalence in Mongolian Urban Area
Зохиогч
Он
2017 оны наймдугаар сарын 1
Төрөл
conference paper
Volume
261
Start Page
274
End Page
281
Хураангуй
In order to prevent the body from any diseases and to protect human health, this study calculated the pathological index or meteorological pathology state (MPS) by using the weather factors such as air average temperature, average wind speed, average relative humidity and air pressure every day between 2009 and 2015 in Ulaanbaatar at the Information and Research Institute of Meteorology, Hydrology and Environment of Mongolia. We have calculated the month index of 22 diseases of circulatory system according to the Tenth Revision of the International Statistical Classification of Diseases (ICD-10) including from I00 to I99 at the Center for Health Development of Mongolia.By estimating the correlation between the disease month index and pathological index, we have determined seven diseases which are related to weather condition. On each day there were most entropy diseases such as the disease of circulatory system I, Essential hypertension I10, Chronic ischemic heart disease I25 etc. We have established the pattern that expresses association between the meteorological state and the disease by using the data mining method, and determined the most appropriate k-medoids method [5].