Abstract
This paper takes the basic information of individual account in urban medical health insurance as samples in China. It is discussed about evaluating various risk factors affecting medical insurance operation with data mining technology as a tool from massive basic medicare data. We apply basic algorithm of data mining such as decision trees, neural network, etc, to analyze data mining sample in one city and analyze the influence of multiple attributes of insured individuals and enterprise scale on account usage of basic medical insurance. Finally, based on above analysis, the perfect basic medical insurance suggestions are put forward with current development of urban basic medicare industries.
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