Analyzing the Data of Chinese Medicine Used in Disease Treatment of Stroke Based on the Bayes Analysis
Xing Yanhui
Cui Meng
Chu Jinong
Hu Xueqin
Yang Shuo
Wen Xianrong
Kang Li
Lei Lei
Abstract：Objective Data mining technology was used in analyzing the data of Chinese medicine for disease treatment of stroke, some valuable information and knowledge areabtained for developing new medicine and doctor’decisionmaking.Methods Some treatment data and curative effect datafrom treatment of stroke were selected.Data was cleaned for further data analysis,like term standardization,datatransformation,ect.The Bayesian analysis technology was applied for knowledge discovery.Results The cura-tive effect prediction model was buided based on the syndrome,medicine frequency,curative effect,the relationship between them and some valuable rules were finded in the research.For example in this paper Ocher,Danxing,Lactiflora,Chuanxiong Mulberry had high curative effect in treatment of hyperactivity of liver yang syndrome.Conclusion These result can support the new medicine dis-covery and help the doctor make decision.
Keywords：Chinese medicinestrokebayesfrequecycurative effect
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 471-474 )