Research on Association Rules of Breast Cancer and TCM Syndrome Based on Data Mining

被引：0
|
作者：
Yang, JiaYuan [1 ]
Zhao, GuangYuan [1 ]
Wen, YingZhe [1 ]
Duan, JiaWei [1 ]
机构：
[1] Xian Univ Posts & Telecommun, Sch Automat, Xian, Peoples R China
来源：
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) | 2019年
关键词：
Data mining; TCM syndrome; Apriori algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The method of Chinese medicine proband and conquer effective in treat cancer is becoming more significant, traditional manual ways of getting cancer syndromes are low in efficiency, weak in concentration. In order to better get the cancer syndrome, based on the data mining method, this paper collects the clinical manifestations and body parameters of breast cancer patients as the original data. The data pre-processing and Apriori algorithm are used to construct and analyze the model, and explore the association rules of breast cancer and TCM syndrome. The results with high confidence and support show that TNM staging of different grades of breast cancer correspond to different TCM syndrome types, which can provide effective treatment for patients with different TNM staging.
引用
收藏
页码：2788 / 2792
页数：5
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