Association Rule Discovery with Fuzzy Decreasing Support on Syndrome Differentiation in Coronary Heart Disease

Author(s):  
Wei-guo Yi ◽  
Ming-yu Lu ◽  
Zhi Liu ◽  
Hao Xu
2021 ◽  
Vol 14 ◽  
Author(s):  
Chunlai Zhao ◽  
Wenjia Wang ◽  
Kaijing Yan ◽  
He Sun ◽  
Jihong Han ◽  
...  

: The alterations in vascular homeostasis is deeply involved in the development of numerous diseases, such as coronary heart disease, stroke, and diabetic complications. Changes in blood flow and endothelial permeability caused by vascular dysfunction are the common mechanisms for these three types of diseases. The disorders of glucose and lipid metabolism can result in changes of the energy production patterns in endothelium and surrounding cells which may consequently cause local energy metabolic disorders, oxidative stress and inflammatory responses. Traditional Chinese medicine (TCM) follows the principle of the “treatment by the syndrome differentiation”. TCM considers of that coronary heart disease, stroke and diabetes complications all as the type of “Qi deficiency and Blood stasis” syndrome, which mainly happens to the vascular system. Therefore, the common pathogenesis of these three types of diseases suggests the treatment strategy by TCM should be in a close manner and named as “treating different diseases by the same treatment”. Qishen Yiqi dripping pills is a modern Chinese herbal medicine which has been widely used for treatment of patients with coronary heart disease characterized as “Qi deficiency and blood stasis” in China. Recently, many clinical reports have demonstrated the potent therapeutic effects of Qishen Yiqi dripping pills on ischemic stroke and diabetic nephropathy. Based on these reports, we will summarize the clinical applications of Qishen Yiqi dripping pills on coronary heart disease, ischemic stroke and diabetic nephropathy, including the involved mechanisms with basic researches.


Author(s):  
Julien Blanchard ◽  
Fabrice Guillet ◽  
Pascale Kuntz

Assessing rules with interestingness measures is the cornerstone of successful applications of association rule discovery. However, as numerous measures may be found in the literature, choosing the measures to be applied for a given application is a difficult task. In this chapter, the authors present a novel and useful classification of interestingness measures according to three criteria: the subject, the scope, and the nature of the measure. These criteria seem essential to grasp the meaning of the measures, and therefore to help the user to choose the ones (s)he wants to apply. Moreover, the classification allows one to compare the rules to closely related concepts such as similarities, implications, and equivalences. Finally, the classification shows that some interesting combinations of the criteria are not satisfied by any index.


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