國家衛生研究院 NHRI:Item 3990099045/7410
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/7410


    Title: The use of heat map with hierarchical clustering in mortality risk to identify “Hot-Spots” risk factors in polluted industrial areas
    Other Titles: 利用階層式分群法點熱圖以瞭解工業污染地區的死亡風險因子
    Authors: Yeh, HL;Tsou, HC;Chiang, HC;Chiang, PH;Liou, DM
    Contributors: Division of Health Services and Preventive Medicine;National Environmental Health Research Center;Division of Environmental Health and Occupational Medicine
    Abstract: Changhua and Yunlin are two major agricultural counties in Taiwan, where heavy environmental pollution occurred due to rapid industrialization in the 1970’s. As a result, health of residents in certain areas was severely affected. To facilitate health risk assessment in these areas, a tool was developed to identify pollution “hot-spot” areas using a spatial autocorrelation model and heat map with hierarchical clustering in mortality risk. We can then examine the important health risk factors these particular areas. The system was developed with a freeware of R script that displayed the results of a cluster analysis by permuting the rows and the columns of a matrix of place similar values near each other. This method was used to survey distribution of mortality by year and identify the possible trend of certain disease. The study used cluster heap map to display the relationship between spatial and temporal information of mortality data visually and rapidly. The disparity of health conditions can be greatly through the identification and mitigation of priority risk factors in environment.
    Date: 2013-06
    Relation: Journal of Taiwan Association for Medical Informatics. 2013 Jun;22(2):1-14.
    Link to: http://www.airiti.com/teps/ec_en/ecjnlarticleView.aspx?jnlcattype=1&jnlptype=5&jnltype=44&jnliid=3265&issueiid=147619&atliid=2675076
    Appears in Collections:[Hung-Che Chiang] Periodical Articles
    [Po-Huang Chiang] Periodical Articles

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