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

Medicine

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