Association analysis of Primary liver cancer based on Apriori Algorithm

Y. Liu, Qi Pan
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Abstract

This paper briefly describes the Apriori algorithm for primary liver cancer data, and then performs data preprocessing based on the characteristics of primary liver cancer patients, including data import and extraction, and embedding the algorithm into primary liver cancer. The implementation of clinical warning. After that, the Apriori algorithm is used to realize the association of the data association rules of primary liver cancer, and the internal valuable association rules are obtained, which provides suggestions for improving the doctor's remediation and prevention, so as to prevent the occurrence and reduction of primary liver cancer. The incidence of primary liver cancer has important practical significance.
基于Apriori算法的原发性肝癌相关性分析
本文简要介绍了原发性肝癌数据的Apriori算法,然后根据原发性肝癌患者的特点进行数据预处理,包括数据导入和提取,并将算法嵌入到原发性肝癌中。实施临床预警。之后,利用Apriori算法实现原发性肝癌数据关联规则的关联,获得内部有价值的关联规则,为提高医生的补救和预防提供建议,从而预防和减少原发性肝癌的发生。原发性肝癌的发病率具有重要的现实意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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