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

المؤلفون المشاركون

Lu, Peng
Chen, Jianxin
Zhao, Huihui
Shi, Qi
Wang, Wei
Luo, Liangtao
Zuo, Xiaohan
Yi, Jianqiang
Yang, Yi
Zheng, Chenglong

المصدر

Evidence-Based Complementary and Alternative Medicine

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-06-12

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الطب البشري

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1028392