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
Link To Document :
بازگشت