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Objective: Multiscale Entropy(MSE)analysis was applied to investigate the complexity of the traditional Chinese medicine pulse condition of the patient with coronary heart disease (CHD), laying the foundation for the development and promotion of pulse diagnosis as a noninvasive diagnostic technique. Methods: Firstly MSE with window movement (WMSE) are used to analyze the complexity of pulses signal...
Multi-label learning task is using to solve problems of syndrome diagnosis for patients may simultaneously have more than one syndrome in traditional Chinese medicine (TCM). The two goals of multi-label learning are label prediction loss and relevance ordering loss. Most Multi-label learning algorithms focus on only one of the goals and neglect the other one. However, there is a multi-label learning...
Purpose: The analysis of syndrome distribution and the association between syndrome-syndrome in chronic gastritis (CG) patients can provide references for research about Traditional Chinese Medicine (TCM) diagnosis and treatment of CG. Method: This paper applies the investigation method of clinical epidemiology, adopts probability statistics method and comes up with the concept of associated density...
Stata is a comprehensive statistical package. This manuscript together with an example illustrated Stata11.0 procedures and corresponding results in meta- analysis. The outcomes showed that Stata was powerful and personalized and convenient in meta-analysis. At present, there is still lack of strong evidence to support the clinical effect on eradicating helicobacter pylori in chronic gastritis patients...
In this study, we collected cases by means of uniform Information- Collection Scale of Inquiry Diagnosis for Cardiovascular Diseases in TCM. The diagnostic criteria were established, and each case was interpreted by associate chief physician or senior doctor. The value “1 or 0” was assigned to “with or without” information. By using Epidate 3.1, the information collected was entered by two persons...
Coronary heart disease (CHD) is a common cardiovascular disease in the elderly, which causes high death rate and low cure rate. Therefore, the TCM diagnosis objectification is important. This paper proposes the Relative Associated Density (RAD) method to analyze the data set. RAD results of the symptoms to syndromes are used in performing feature selection, and the prediction results with different...
Pulse diagnosis is one of important diagnosis methods in Traditional Chinese Medicine (TCM). Recognition of TCM pulse has received more and more attention in recent years. Extracting proper features is crucial for satisfactory classification. While most of previous methods for feature extraction of TCM pulse have no specific correlation with the mechanism of TCM pulse, a hemodynamics method is used...
The differential diagnostics of traditional Chinese medicine is the kernel of TCM. The objective study of TCM diagnostics is a research hot spot at present. The differential diagnostics process of TCM is very complex and nonlinear. Support vector machine (SVM) is a novel method to establish the diagnosis model of TCM. In this paper, the differential diagnostics model is constructed base on multi-SVM...
In this study, we assessed the large sample population of patients with chronic gastritis based on three methods with supervised learning function, i.e., the regression analysis, BP neural network and support vector machine. On basis of the results, we constructed the diagnostic models to predict the types of traditional Chinese medicine (TCM) syndromes of chronic gastritis, and compared the correct...
Objective: We aimed to assess concordance of Zangfu-organs Syndrome Differentiation by evaluating the concordance of successive diagnosis by the same clinician of traditional Chinese medicine (TCM) and that of diagnosis by different clinicians of TCM. Methods: Twenty-five cases were randomly selected and 2 copies were made from the numerical data collected through Inquiry Scale for Diagnosis of Heart...
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