首页 / 资料库 / 文献详情

[Analysis of prescription regularity of traditional Chinese medicine for colorectal cancer based on data mining].

Xiangjun QiXinrong ChenJiahao MoPei-Xin LiMeng-Yi CaiWanning LanHanrui ChenZhuang-Zhong Chen

2021PubMedMedicine被引 5

出版方页面 →

摘要

The tumor prescriptions contained in Dictionary of Tumor Formulas, Compendium of Good Tumor Formulas, Chinese Pharmacopoeia, Ministry of Health Drug Standards for Chinese Medicine Formulas and National Compilation of Standards for Proprietary Chinese Medicines were selected and organized to construct a database for tumor prescriptions, and the data mining techniques were applied to investigate the prescription regularity of colorectal cancer prescriptions. The formula data were extracted after screening in strict accordance with the inclusion and exclusion criteria, and were then analyzed with Microsoft Excel 2010 for frequency statistics, Apriori block provided by SPSS Clementine 12.0 software for correlation rule analysis, and arules and arulesViz packages in R 4.0.2 software for correlation rule visualization. In addition, SPSS 18.0 software was used for cluster analysis and factor analysis, in which cluster analysis was performed by Ochiai algorithm with bicategorical variables in systematic clustering method and factor analysis was performed mainly with principal component analysis. A total of 285 prescriptions were included in the statistical analysis, and the frequency statistics showed that 43 herbs had been used more than 16 times. The association rules analysis showed that 26 high-frequency me-dicine pair rules were obtained, and the association rules for those dispelling evil spirits, strengthening the body, resolving stasis, dispelling dampness, etc. were visualized. In the cluster analysis, we generated a dendrogram from which 7 groups of traditional Chinese medicines with homogeneity were extracted. 10 common factors were obtained in the factor analysis. The types of herbal medicines involved in the colorectal cancer prescription included anti-cancer antidotes, strengthening and tonifying medicines, blood-regulating medicines, and expectorant medicines, corresponding to the treatment for eliminating evil spirits, strengthening, resolving stasis, and ex

引用本文(GB/T 7714)

Xiangjun Qi, Xinrong Chen, Jiahao Mo, 等. [Analysis of prescription regularity of traditional Chinese medicine for colorectal cancer based on data mining].[J]. PubMed, 2021.

引文网络

参考文献与被引分析加载中…

DOI:https://doi.org/10.19540/j.cnki.cjcmm.20201127.501

本站仅收录题录与摘要供学习参考,全文版权归属出版方;如有侵权请联系我们删除。