Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease
Joint Authors
Lu, Peng
Chen, Jianxin
Zhao, Huihui
Shi, Qi
Wang, Wei
Luo, Liangtao
Zuo, Xiaohan
Yi, Jianqiang
Yang, Yi
Zheng, Chenglong
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China.
The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past.
In this paper, we proposed four MI-based association algorithms to analyze phenotype networks of CHD, and established scale of syndromes to automatically generate the diagnosis of patients based on their phenotypes.
We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra.
American Psychological Association (APA)
Chen, Jianxin& Lu, Peng& Zuo, Xiaohan& Shi, Qi& Zhao, Huihui& Luo, Liangtao…[et al.]. 2012. Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease. Evidence-Based Complementary and Alternative Medicine،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-1028392
Modern Language Association (MLA)
Chen, Jianxin…[et al.]. Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease. Evidence-Based Complementary and Alternative Medicine No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-1028392
American Medical Association (AMA)
Chen, Jianxin& Lu, Peng& Zuo, Xiaohan& Shi, Qi& Zhao, Huihui& Luo, Liangtao…[et al.]. Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease. Evidence-Based Complementary and Alternative Medicine. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-1028392
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1028392