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Research and Application of Data Mining in Chronic Diseases

机译:数据挖掘在慢性病中的研究与应用

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In recent years, with the acceleration of people's pace of life, the number of chronic diseases in China is increasing. The attention and investment of the country to the medical industry is increasing year by year. At the same time, with the maturity and perfection of data mining technology, many countries have applied this technology to the research and mining of medical data. In this paper, the Apriori algorithm of data mining technology, and improve the data format of the Apriori algorithm is applied to the prediction of nephropathy, establish the association rules between chronic disease and a number of physical data by the algorithm, and the experimental results proved that Apriori algorithm is effective in the medical data mining.
机译:近年来,随着人们生活步伐的加速,中国慢性病的数量正在增加。该国对医疗行业的关注和投资逐年增加。与此同时,随着数据挖掘技术的成熟和完善,许多国家已经将这种技术应用于医疗数据的研究和开采。本文采用了数据挖掘技术的APRiori算法,提高了APRiori算法的数据格式,应用于肾病的预测,通过算法建立慢性疾病与许多物理数据之间的关联规则,实验结果事实证明,Apriori算法在医疗数据挖掘中是有效的。

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