Data Mining of Syndrome Differentiation Rule in Treating Patients with Coronary Heart Disease Angina Pectoris Collateral-qi Deficiency and Stagnation Syndrome under the Guidance of Vessel-collateral Theory and Yingfen-weifen Theory
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Data Mining of Syndrome Differentiation Rule in Treating Patients with Coronary Heart Disease Angina Pectoris Collateral-qi Deficiency and Stagnation Syndrome under the Guidance of Vessel-collateral Theory and Yingfen-weifen Theory
Journal of Traditional Chinese MedicineVol. 59, Issue 5, Pages: 381-385(2018)
MI Hongying, WEI Cong, LI Hongrong, et al. Data Mining of Syndrome Differentiation Rule in Treating Patients with Coronary Heart Disease Angina Pectoris Collateral-qi Deficiency and Stagnation Syndrome under the Guidance of Vessel-collateral Theory and Yingfen-weifen Theory[J]. Journal of Traditional Chinese Medicine2018, 59(5): 381-385.
MI Hongying, WEI Cong, LI Hongrong, et al. Data Mining of Syndrome Differentiation Rule in Treating Patients with Coronary Heart Disease Angina Pectoris Collateral-qi Deficiency and Stagnation Syndrome under the Guidance of Vessel-collateral Theory and Yingfen-weifen Theory[J]. Journal of Traditional Chinese Medicine2018, 59(5): 381-385.DOI: 10.13288/j.11-2166/r.2018.05.006.
Data Mining of Syndrome Differentiation Rule in Treating Patients with Coronary Heart Disease Angina Pectoris Collateral-qi Deficiency and Stagnation Syndrome under the Guidance of Vessel-collateral Theory and Yingfen-weifen Theory
Objective To analyze the syndrome differentiation rule in treating patients with coronary heart disease(CHD) angina pectoris collateral-qi deficiency and stagnation syndrome under the guidance of vessel-collateral theory and yingfen-weifen theory by data mining method. Methods Around a variety of elements
such as CHD angina pectoris disease
syndrome
symptom
method
recipe and medicine
comprehensive data analysis methods
including Bayesian network
frequency analysis
cluster analysis
descriptive analysis and Pearson correlation analysis
were applied to objectively reveal the clinical syndrome differentiation rule in treating CHD angina pectoris collateral-qi deficiency and stagnation syndrome under the guidance of vessel-collateral theory. Results The symptoms extracted by Bayesian network
which had a strong causal relationship with collateral-qi deficiency and stagnation syndrome were cardiothoracic dull pain
dispiritedness and weakness
deep and thready pulse
palpitation and disinclination to talk
as well as tongue with teeth prints. Frequency analysis method was used to analyze the symptoms and herbs of collateral-qi deficiency and stagnation syndrome. The result showed that symptoms with high frequency were cardiothoracic dull pain
oppression in chest and panting
7. 41% and 6. 79%. Herbs with high frequency were Xiyangshen(Radix Panacis Quinquefolii
泽泻). Herb proportion of commonly used herb pair was summarized by descriptive analysis; the commonly used proportion of Xiyangshen-Shenghuangqi(Radix Astragali seu Hedysari
生 黄芪) was 12 g ∶ 30 g. Pearson correlation analysis showed correlation strength between high frequency herb pairs and syndrome and the correlation degree of all combinations was more than0. 4. Conclusion By data mining in treating CHD angina pectoris cases
the authors further explained the recipemedicine rule in patients with CHD angina pectoris collateral-qi deficiency and stagnation syndrome under the guidance of vessel-collateral theory and the therapeutic principle of "taking unblocked transmission as normal functional state of collateral".
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