基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
Objective:To explore the clinical drug use of Professor Liu Shangyi,a master of Chinese medicine,in the treatment of thyroid cancer based on the ancient and modern medical record cloud platform v1.5.7 software.Methods:From January 01,2018 to April 01,2019,the information input system of Professor Liu Shangyi,traditional Chinese Medicine Hospital of Guizhou Province,was screened.The data mining and analysis module was used to explore the clinical drug use of Professor Liu Shangyi in the treatment of thyroid cancer.Results:A total of 207 medical cases were recorded in this study,with 207 prescriptions,involving 129 kinds of herbs.The five most frequently used herbs are Ezhu(Curcumae Rhizoma),Biejia(Trionycis Carapax),Maozhuacao(Ranunculi Ternati Radix),Donglingcao(Rabdosia rubescens)and Chaojiezi(Sinapis Semen).Most of the drugs are warm and cold;most of the five flavors are sweet and bitter;most of the Meridian tropism are lung and liver;and the main efficacy are clearing away heat and toxic materials,eliminating phlegm and resolving hard mass.The most frequent correlation analysis of traditional Chinese medicines(TCM)are Bie Jia(Trionycis Carapax)-Ezhu(Curcumae Rhizoma),Donglingcao(Rabdosia rubescens)-Ezhu(Curcumae Rhizoma).Conclusion:Professor Liu Shangyi often use clearing away heat and toxic materials,resolving phlegm and disperse knot combined with tonifying liver and kidney in order to help fostering vital Qi and dispeling evil in clinical treatment of thyroid cancer.
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 Analysis of drug use rules of Chinese medicine master Liu Shangyi to treat thyroid cancer
来源期刊 TMR临床研究 学科 经济
关键词 MASTER of Chinese medicine LIU Shangyi THYROID cancer Data mining
年,卷(期) 2019,(3) 所属期刊栏目
研究方向 页码范围 125-132
页数 8页 分类号 F42
字数 语种
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2019(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
研究主题发展历程
节点文献
MASTER
of
Chinese
medicine
LIU
Shangyi
THYROID
cancer
Data
mining
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
TMR临床研究
季刊
2624-1196
天津市河东区大直沽中路伯苓大厦B座906
出版文献量(篇)
54
总下载数(次)
0
总被引数(次)
0
论文1v1指导