Discrimination and Feature Selection of Geographic Origins of Traditional Chinese Medicine Herbs with NIR Spectroscopy

2005 ◽  
Vol 50 (2) ◽  
pp. 179 ◽  
Author(s):  
Shuhua LIU
Keyword(s):  
Feature Selection ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Nir Spectroscopy ◽  
Geographic Origins ◽  
Selection Of

scholarly journals The Reporting Quality Assessment of Complex Interventions’ Articles in Traditional Chinese Medicine

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Meng Wu ◽  
Jingqing Hu ◽  
Biaoyan Liu
Keyword(s):  
Quality Control ◽  
Clinical Trials ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Complex Interventions ◽  
Reporting Quality ◽  
Chinese Journal ◽  
Inform Consent ◽  
Ethical Approval ◽  
Selection Of

Objective.To realize the current situation and problems of complex interventions’ clinical trials.Methods.Searching at Chinese Journal Integrated Traditional and Western Medicine and Journal of Traditional Chinese Medicine from 2007 to 2012 by hand, we identified complex interventions’ articles, and then we used the proposed criteria of complex interventions and CONSORT FOR TCM to evaluate.Results.All data is presented as counts with percentages and details in tables.Conclusion.Our evaluation presented that complex interventions have many defects: the selection of the intervention’s components lacks rationale, complex interventions were short of fundamental researches, components’ interactions were ambiguous, and the advantages of complex interventions were not mentioned. Furthermore, explanation of sample size, blind, quality control, ethical approval, and inform consent were neglected in different degrees.

scholarly journals Research on Hybrid Feature Selection Method Based on Iterative Approximation Markov Blanket

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Canyi Huang ◽  
Keding Li ◽  
Jianqiang Du ◽  
Bin Nie ◽  
Guoliang Xu ◽  
...  
Keyword(s):  
Experimental Data ◽  
Feature Selection ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Feature Selection Method ◽  
Selection Method ◽  
Feature Subset ◽  
Iterative Approximation ◽  
Markov Blanket ◽  
Basic Experimental Data

The basic experimental data of traditional Chinese medicine are generally obtained by high-performance liquid chromatography and mass spectrometry. The data often show the characteristics of high dimensionality and few samples, and there are many irrelevant features and redundant features in the data, which bring challenges to the in-depth exploration of Chinese medicine material information. A hybrid feature selection method based on iterative approximate Markov blanket (CI_AMB) is proposed in the paper. The method uses the maximum information coefficient to measure the correlation between features and target variables and achieves the purpose of filtering irrelevant features according to the evaluation criteria, firstly. The iterative approximation Markov blanket strategy analyzes the redundancy between features and implements the elimination of redundant features and then selects an effective feature subset finally. Comparative experiments using traditional Chinese medicine material basic experimental data and UCI’s multiple public datasets show that the new method has a better advantage to select a small number of highly explanatory features, compared with Lasso, XGBoost, and the classic approximate Markov blanket method.

THE FERMENTATION PROCESSING OF TRADITIONAL CHINESE MEDICINE: A SHORT REVIEW

2021 ◽  
pp. 48-51
Author(s):  
Saeed Hamid Saeed Omer ◽  
YUAN Yanzhi ◽  
LI Gaoqiang ◽  
LIU Yongli ◽  
GAO Wenlong ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Mode Of Action ◽  
Fermentation Process ◽  
Short Review ◽  
Traditional Chinese Medicines ◽  
Chinese Medicines ◽  
Fermentation Liquid ◽  
Solid Fermentation ◽  
Selection Of

In recent decades, the processing of traditional Chinese medicines has received widespread attention as people's requirements for safety and effectiveness of traditional Chinese medicine have increased. Because of its theory and technical methods, the fermentation processing of traditional Chinese medicines has been distinct from other methods. Based on generalized fermentation, the fermentation of traditional Chinese medicine is based on collection of appropriate traditional Chinese medicinal materials for processing according to the characteristics of the bacteria, so that the original properties of the medicinal materials are modied and the effectiveness is increased. Strong fermentation, liquid fermentation, and two-way solid fermentation are popular fermentation methods. Currently, the study of traditional Chinese medicine's fermentation process has drawn wide interest from academics. In the future, in order to open up new avenues for fermentation and production of traditional Chinese medicine, the selection of fermenting microorganisms and the mode of action of strains in the fermentation phase need to be examined in depth.

scholarly journals ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yan Cui ◽  
Shizhong Liao ◽  
Hongwu Wang
Keyword(s):  
Feature Selection ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Health Information ◽  
Scientific Evidence ◽  
Feature Selection Method ◽  
Selection Method ◽  
Tongue Diagnosis ◽  
Health Group ◽  
Boosting Method

Objective. To select significant Haar-like features extracted from tongue images for health identification.Materials and Methods. 1,322 tongue cases were included in this study. Health information and tongue images of each case were collected. Cases were classified into the following groups: group containing 148 cases diagnosed as health; group containing 332 cases diagnosed as ill based on health information, even though tongue image is normal; and group containing 842 cases diagnosed as ill. Haar-like features were extracted from tongue images. Then, we proposed a new boosting method in the ROC space for selecting significant features from the features extracted from these images.Results. A total of 27 features were obtained from groups A, B, and C. Seven features were selected from groups A and B, while 25 features were selected from groups A and C.Conclusions. The selected features in this study were mainly obtained from the root, top, and side areas of the tongue. This is consistent with the tongue partitions employed in traditional Chinese medicine. These results provide scientific evidence to TCM tongue diagnosis for health identification.

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