Title of article
Explore the medication rules of Chinese medicine of Professor Huang Wenzheng for the treatment of chronic kidney disease based on data mining
Author/Authors
Dong ، Shao-Ning Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital , Wang ، Yao-Guang First Teaching Hospital of Tianjin University of Traditional Chinese Medicine , Xu ، Bing Tianjin University of Traditional Chinese Medicine , Jin ، Liang Tianjin University of Traditional Chinese Medicine , Wang ، Cui-Han Tianjin University of Traditional Chinese Medicine
Pages
10
From page
156
To page
165
Abstract
In recent years, chronic kidney disease (CKD) received increased attention due to its high prevalence and adverse effects. Current treatment options for CKD are limited. Many patients seek alternative therapies， such as traditional Chinese medicine (TCM). TCM has been used widely in the treatment CKD for many years. The purpose of this study is to explore the medication rules of Professor Huang Wenzheng s treatment of CKD with Chinese medicine based on data mining. The structured case database was built for 131 patients with CKD treated by Prof. Huang. The complex network analysis was applied to analyze the medication principle of Chinese medicines.The study found the backbone network and three-level network of the Chinese medicines for the treatment of CKD by homogeneous network analysis. The 5 top commonly used herbs were Dan Shen (Radix Salviae Miltiorrhizae) , Fu Ling (Poria) , Huang Qin (Radix Scutellariae), Sheng Di Huang (Radix Rehmanniae Recens) and Sha Ren (Fructus Amomi Villosi), respectively.
Keywords
Chronic kidney disease , Huang Wenzheng , Clinical practice , Complex network
Journal title
Traditional Medicine Research
Serial Year
2016
Journal title
Traditional Medicine Research
Record number
2471269
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