Study of sEGF level in chronic atrophic gastritis with either Chinese traditional medicine or western medicine

Jian, Si

doi:10.1631/jzus.2002.0243

Cited by 4 publications

(2 citation statements)

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“…A syndrome enables the doctor to determine the development and the location of the disease [2]. Syndrome differentiation is the method of recognizing and diagnosing diseases or body imbalances by analyzing clinical information based on TCM theories and the doctor's experience [3]. TCM has formed a systematized methodology of diagnosis and treatment based on the rich practical knowledge and experience of Chinese people in struggling against diseases.…”

Section: Introductionmentioning

confidence: 99%

Classification and Progression Based on CFS-GA and C5.0 Boost Decision Tree of TCM Zheng in Chronic Hepatitis B

Chen

Chu

et al. 2013

Evidence-Based Complementary and Alternative Medicine

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Chronic hepatitis B (CHB) is a serious public health problem, and Traditional Chinese Medicine (TCM) plays an important role in the control and treatment for CHB. In the treatment of TCM, zheng discrimination is the most important step. In this paper, an approach based on CFS-GA (Correlation based Feature Selection and Genetic Algorithm) and C5.0 boost decision tree is used for zheng classification and progression in the TCM treatment of CHB. The CFS-GA performs better than the typical method of CFS. By CFS-GA, the acquired attribute subset is classified by C5.0 boost decision tree for TCM zheng classification of CHB, and C5.0 decision tree outperforms two typical decision trees of NBTree and REPTree on CFS-GA, CFS, and nonselection in comparison. Based on the critical indicators from C5.0 decision tree, important lab indicators in zheng progression are obtained by the method of stepwise discriminant analysis for expressing TCM zhengs in CHB, and alterations of the important indicators are also analyzed in zheng progression. In conclusion, all the three decision trees perform better on CFS-GA than on CFS and nonselection, and C5.0 decision tree outperforms the two typical decision trees both on attribute selection and nonselection.

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Section: Introductionmentioning

confidence: 99%

Classification and Progression Based on CFS-GA and C5.0 Boost Decision Tree of TCM Zheng in Chronic Hepatitis B

Chen

Chu

et al. 2013

Evidence-Based Complementary and Alternative Medicine

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“…Zheng classification enables the doctor to determine the stage that the disease developed and the location of the disease [ 2 ]. Zheng classification is the method of recognizing and diagnosing diseases by analyzing patient information based on TCM theories and the doctor's experiences [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Zheng Classification with Missing Feature Values Using Local-Validity Approach

Wang

2013

Evidence-Based Complementary and Alternative Medicine

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Zheng classification is a very important step in the diagnosis of traditional Chinese medicine (TCM). In clinical practice of TCM, feature values are often missing and incomplete cases. The performance of Zheng classification is strictly related to rates of missing feature values. Based on the pattern of the missing feature values, a new approach named local-validity is proposed to classify zheng classification with missing feature values. Firstly, the maximum submatrix for the given dataset is constructed and local-validity method finds subsets of cases for which all of the feature values are available. To reduce the computational scale and improve the classification accuracy, the method clusters subsets with similar patterns to form local-validity subsets. Finally, the proposed method trains a classifier for each local-validity subset and combines the outputs of individual classifiers to diagnose zheng classification. The proposed method is applied to the real liver cirrhosis dataset and three public datasets. Experimental results show that classification performance of local-validity method is superior to the widely used methods under missing feature values.

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Feature selection and syndrome prediction for liver cirrhosis in traditional Chinese medicine

Wang

Liu

2009

Computer Methods and Programs in Biomedicine

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Study of sEGF level in chronic atrophic gastritis with either Chinese traditional medicine or western medicine

Cited by 4 publications

References 0 publications

Classification and Progression Based on CFS-GA and C5.0 Boost Decision Tree of TCM Zheng in Chronic Hepatitis B

Classification and Progression Based on CFS-GA and C5.0 Boost Decision Tree of TCM Zheng in Chronic Hepatitis B

Zheng Classification with Missing Feature Values Using Local-Validity Approach

Feature selection and syndrome prediction for liver cirrhosis in traditional Chinese medicine

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