scholarly journals Traditional Chinese Medicine Syndromes for Essential Hypertension: A Literature Analysis of 13,272 Patients

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Jie Wang ◽  
Xingjiang Xiong ◽  
Wei Liu
Keyword(s):  
Essential Hypertension ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Scientific Journal ◽  
Blood Stasis ◽  
Syndrome Differentiation ◽  
Traditional Chinese Medicine Syndrome ◽  
Yin Deficiency ◽  
Clinical Literature ◽  
Yin And Yang

Background. To simplify traditional Chinese medicine syndrome differentiation and allow researchers to master syndrome differentiation for hypertension, this paper retrospectively studied the literature and analyzed syndrome elements corresponding to hypertension syndromes.Methods. Six databases including PubMed, EMBASE, Chinese Bio-Medical Literature Database, Chinese National Knowledge Infrastructure, Chinese Scientific Journal Database, and Wan-fang Data were searched from 1/January/2003 to 30/October/2013. We included all clinical literature testing hypertension syndromes and retrospectively studied the hypertension literature published from 2003 to 2013. Descriptive statistics calculated frequencies and percentages.Results. 13,272 patients with essential hypertension were included. Clinical features of hypertension could be attributed to 11 kinds of syndrome factors. Among them, seven syndrome factors were excess, while four syndrome factors were deficient. Syndrome targets were mainly in the liver and related to the kidney and spleen. There were 33 combination syndromes. Frequency of single-factor syndromes was 31.77% and frequency of two-factor syndromes was 62.26%.Conclusions. Excess syndrome factors of hypertension patients include yang hyperactivity, blood stasis, phlegm turbidity, internal dampness, and internal fire. Deficient syndrome factors of hypertension patients are yin deficiency and yang deficiency. Yin deficiency with yang hyperactivity, phlegm-dampness retention, and deficiency of both yin and yang were the three most common syndromes in clinical combination.

scholarly journals Holistic and dynamic metabolic alterations of traditional Chinese medicine syndrome in a toxic heat and blood stasis syndrome rat model

RSC Advances ◽  
2017 ◽  
Vol 7 (89) ◽  
pp. 56471-56483
Author(s):  
Jing-Jing Xu ◽  
Feng Xu ◽  
Shu-Jie Shen ◽  
Teng Li ◽  
Yi-Fan Zhang ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Rat Model ◽  
Blood Stasis ◽  
Blood Stasis Syndrome ◽  
Chinese Medicine Syndrome ◽  
Dynamic Changes ◽  
Metabolic Alterations ◽  
Traditional Chinese Medicine Syndrome ◽  
First Time

Dynamic changes of the metabolic network during the evolution of a syndrome based on the toxic heat and blood stasis syndrome (THBSS) rat model have been elucidated for the first time.

A Traditional Chinese Medicine Syndrome Classification Model based on Cross-FGCNN: Model Development and Validation (Preprint)

2021 ◽  
Author(s):  
Zonghai Huang ◽  
Ju Chen ◽  
Yanmei Zhong ◽  
Simin Yang ◽  
Yiyi Ma ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Model Development ◽  
Classification Model ◽  
Syndrome Differentiation ◽  
Traditional Chinese Medicine Syndrome ◽  
Nonlinear Features ◽  
Syndrome Differentiation And Treatment ◽  
Development And Validation ◽  
Multi Classification

UNSTRUCTURED Syndrome differentiation and treatment is the core of traditional Chinese medicine(TCM) in the treatment of diseases. TCM doctors can dialectically classify the syndrome according to the patients' symptoms and conduct treatment. Syndrome differentiation can be regarded as a mathematical model for multi-classification of different high-dimensional sparse symptom vectors. The FGCNN can quickly and effectively extract the nonlinear cross features of sparse vectors in the CTR task. On this basis, we selected the data of 5273 real cases of dysmenorrhea and divided the symptoms into field according to the four diagnosis of TCM, so as to construct an improved Cross-FGCNN model and apply it to the intelligent dialectics of TCM. We used 6 kinds of intelligent dialectical models and 3 kinds of CTR models as comparisons at the same time. Cross-FGCNN can achieve 96.21% accuracy and 0.836 Log-Loss, which is better than other models. We maintain that the model of Cross-FGCNN can automatically extract the linear and nonlinear features of symptoms and classify them, having great potential in the intelligent dialectics of TCM in the future.

scholarly journals Syndrome Differentiation of Diabetes by the Traditional Chinese Medicine according to Evidence-Based Medicine and Expert Consensus Opinion

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Jing Guo ◽  
Hongdong Chen ◽  
Jun Song ◽  
Jia Wang ◽  
Linhua Zhao ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Evidence Based Medicine ◽  
Expert Consensus ◽  
Syndrome Differentiation ◽  
Evidence Based ◽  
Yin Deficiency ◽  
Consensus Opinion ◽  
Time Changes ◽  
Based Medicine

In Chinese medicine, diabetes belongs to the category of “Xiaoke disease (disease with symptoms of frequent drinking and urination)”; in the traditional sense, its pathogenesis is “Yin deficiency and dryness-heat.” However, over time, changes in the social environment and lifestyle have also changed the use of traditional Chinese medicine (TCM) in diabetes. In this study, we performed diabetes syndrome differentiation using TCM according to evidence-based medicine and expert consensus opinion.

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