Classification Technology of Traditional Chinese Medicine Based on Latent Semantic Analysis
10.3969/j.issn.1005-5304.2015.03.002
- VernacularTitle:基于潜在语义分析的中药分类技术
- Author:
Changjiang LONG
;
Xuan LI
;
Haopeng LIU
- Publication Type:Journal Article
- Keywords:
Chinese herbal medicine;
latent semantic;
NIRS
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2015;(3):5-9
- CountryChina
- Language:Chinese
-
Abstract:
Modernization of theories of traditional Chinese medicine (TCM) is a key issue for the development of Chinese medicine. As TCM concepts are too vague and lack precise definition, it is difficult to test those theories by modern technologies. Methods of TCM classification are not accepted by Western medicine so far. Because of the diversity and complexity of Chinese herbal medicines, the molecules of Chinese herbal medicines are difficult to be separated, and efficacy is difficult to be verified and classified by biological and chemical methods. In order to verify the scientificity of TCM classification, molecular properties can be studied by their spectrum, and be combined with latent semantic analysis technology and weighting method which are widely used in the Internet search engine. 48 Chinese herbal medicines belonging to four kinds of Chinese herbal medicines:nourishing yin, tonifying yang, invigorating qi, and enriching blood, are analyzed through NIRS, and the results are almost the same as the TCM classification.
