Analysis of risk factors for dengue hemorrhagic fever
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Abstract
This research aims to study the risk factors associated with dengue hemorrhagic fever.
The data were obtained from the thesis title is Aedes larval distribution in Thailand. The 8,245 records of data composing of container type, water level, lid status, lid type, container color and risk for dengue hemorrhagic fever. We used the data with a total of five factors to analyzed the suitable factors using regression analysis to consider the significant relationship between container factors and risk factors for dengue hemorrhagic fever. From the regression analysis, we found that all of five factors including container type, water level, lid status, lid type and container color were statistically significant effected to the risk for dengue hemorrhagic fever (P<0.05). Then, K-means Clustering is used to determine what factors are in the same cluster by performing 100 K steps to find the best group. It was found that the number of two best groups of data were analyzed, i.e. risk and non-risk with a data accuracy of 66.8%, it means that the model is used to find the relationship for the next step. Additionally, grouped by K-means algorithms used to find the relationship with the Apriori algorithm. We found the confidence interval is 0.95 with a total of 131 rules, the results from each group were not different such as if using a plastic container with a lid on water there is no risk or if the container is black and there is no cover, there is a risk of dengue fever, etc.
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Articles published in Journal of Industrial Technology Ubon Ratchathani Rajabhat University both hard copy and electronically are belonged to the Journal.
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