Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease

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 est...

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Published inEvidence-based complementary and alternative medicine Vol. 2012; no. 2012; pp. 1 - 8
Main Authors Wang, Wei, Yang, Yi, Yi, Jianqiang, Luo, Liangtao, Zhao, Huihui, Shi, Qi, Zuo, Xiaohan, Lu, Peng, Chen, Jianxin, Zheng, Chenglong
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2012
Hindawi Limited
Subjects
Algorithms
Angina
Angina pectoris
Cardiology
Cardiovascular disease
Cardiovascular diseases
Chinese medicine
Coronary artery disease
Data analysis
Data mining
Data processing
Diagnosis
Genotype & phenotype
Heart attacks
Heart diseases
Herbal medicine
Hypertension
Modernization
Morbidity
Phenotypes
Traditional Chinese medicine
China
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Academic Editor: Shao Li
ISSN:1741-427X
1741-4288
DOI:10.1155/2012/546230