Literature DB >> 17969892

[Application of entropy-based complex systems partition method in research on quantizing TCM syndrome diagnostic criteria of angina pectoris].

Zhen-Hua Jia1, Ye-Shuang Li, Yi-Ling Wu.   

Abstract

OBJECTIVE: To establish the quantized criteria for TCM syndrome diagnosis of angina pectoris (AP) using the entropy-based complex systems partition method (EBCSPM).
METHODS: Four hundred and three AP patients were randomly assigned to two groups: the operation group (302 cases) and the examination group (101 cases). The symptomatic information of the patients was extracted using EBCSPM to make sure the contribution degree of each symptom to syndrome diagnosis, and the diagnostic threshold was established by the analysis of receiver operating characteristic curves (ROC).
RESULTS: The basic syndromes manifested during AP were collateral-qi stagnation, collateral-qi deficiency and stagnation, turbid phlegm, blood stasis, phlegm-heat, heat-fire, yin deficiency and yang deficiency, etc. Different symptoms contributed to syndrome diagnosis to different degrees and with different diagnostic thresholds, showing good sensitivity and specificity in the prospective verification on the 101 patients in the examination group.
CONCLUSION: EBCSPM is applicable for quantizing TCM diagnostic criteria, and the established criteria shows favorable diagnostic efficacy for TCM syndrome diagnosis of AP.

Entities:  

Mesh:

Year:  2007        PMID: 17969892

Source DB:  PubMed          Journal:  Zhongguo Zhong Xi Yi Jie He Za Zhi        ISSN: 1003-5370


  2 in total

1.  Modelling of inquiry diagnosis for coronary heart disease in Traditional Chinese Medicine by using multi-label learning.

Authors:  Guo-Ping Liu; Guo-Zheng Li; Ya-Lei Wang; Yi-Qin Wang
Journal:  BMC Complement Altern Med       Date:  2010-07-20       Impact factor: 3.659

2.  In silico syndrome prediction for coronary artery disease in traditional chinese medicine.

Authors:  Peng Lu; Jianxin Chen; Huihui Zhao; Yibo Gao; Liangtao Luo; Xiaohan Zuo; Qi Shi; Yiping Yang; Jianqiang Yi; Wei Wang
Journal:  Evid Based Complement Alternat Med       Date:  2012-04-10       Impact factor: 2.629

  2 in total

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