CASIA OpenIR  > 综合信息系统研究中心
陈迪1; 唐仕欢2; 卢朋1; 杨洪军2; 卢朋,杨洪军
Source Publication中国中药杂志
Other AbstractThe Traditional Chinese Medicine (TCM) theory of “treating heart and brain diseases with same methods (Nao Xin Tong Zhi: NXTZ)” have been proven effective by a great deal of clinical researches. However, the underlying mechanism for this theory is still unclear. To provide insights into the potential mechanism of “NXTZ”, this study attempts to investigate on the associations between coronary heart disease (CHD) and stroke-two representative cardiovascular and cerebrovascular diseases-from a data science-based perspective. First, various data resources were integrated to obtain different types of biomedical entities including drugs, genes, pathways and diseases for each disease. Then, three different approaches including text mining, network analysis and enrichment analysis were utilized to recognize the  common features between CHD and stroke, and the corresponding functions of drugs which can treat both diseases, thus unveiling the mechanism of NXTZ. 
Keyword脑心同治 数据科学 脑中风 冠心病
Document Type期刊论文
Corresponding Author卢朋,杨洪军
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
陈迪,唐仕欢,卢朋,等. 基于数据科学的脑心同治机理研究[J]. 中国中药杂志,2015,40(21):4288-4296.
APA 陈迪,唐仕欢,卢朋,杨洪军,&卢朋,杨洪军.(2015).基于数据科学的脑心同治机理研究.中国中药杂志,40(21),4288-4296.
MLA 陈迪,et al."基于数据科学的脑心同治机理研究".中国中药杂志 40.21(2015):4288-4296.
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