Unsupervised data mining technology based on research of stroke medication rules and discovery of prescription

被引：2

作者：

Li, Xinjie ^{[1
,2
]}

Wang, Mingqi ^{[3
]}

Yu, Xujie ^{[3
]}

Li, Xiaoyan ^{[3
]}

Liu, Jingwei ^{[3
]}

Jia, Zhenhua ^{[1
,4
]}

Wei Cong ^{[5
]}

机构：

[1] Hebei Yiling Med Res Inst, Shijiazhuang 050035, Peoples R China

[2] Key Lab Collateral Dis Hebei Prov, Shijiazhuang 050035, Peoples R China

[3] Beijing Univ Chinese Med, Beijing 100029, Peoples R China

[4] Hebei Yiling Hosp Cardiovasc Div, Shijiazhuang 050091, Peoples R China

[5] Collateral Dis Cardiovasc TCM Collateral Dis Theo, Key Res Ctr State Adm Tradit Chinese Med, Shijiazhuang 050035, Peoples R China

来源：

AFRICAN JOURNAL OF PHARMACY AND PHARMACOLOGY | 2012年 / 6卷 / 29期

关键词：

Unsupervised data mining; stroke; medication rules; new prescription;

D O I：

10.5897/AJPP12.638

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

For collecting and sorting literature on treatment of ancient and modern stroke at the entry point, frequency and charts analysis methods were applied. Modern computer technology and statistics were used to do in-depth study of stroke literature data, explore stroke differentiation of symptoms and signs and regular treatment by ancient physicians. On this basis, the unsupervised data mining technology was applied to obtain each syndrome commonly used for drug pair and combination of core. In assembling empirically drug pair and combination of core, 3 new prescriptions were obtained for each syndrome.

引用

页码：2247 / 2254

页数：8

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