Regularity for Lung Cancer Treatnrent by Traditional Chinese Medicine Analyzed with Text Mining Technique
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Regularity for Lung Cancer Treatnrent by Traditional Chinese Medicine Analyzed with Text Mining Technique
Chinese Journal of Experimental Traditional Medical FormulaeVol. 17, Issue 16, Pages: 277-280(2011)
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Published:2011
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GUO Yu-ming, JIANG Miao, ZHENG Guang, et al. Regularity for Lung Cancer Treatnrent by Traditional Chinese Medicine Analyzed with Text Mining Technique[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(16): 277-280.
DOI:
GUO Yu-ming, JIANG Miao, ZHENG Guang, et al. Regularity for Lung Cancer Treatnrent by Traditional Chinese Medicine Analyzed with Text Mining Technique[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(16): 277-280.DOI:
Regularity for Lung Cancer Treatnrent by Traditional Chinese Medicine Analyzed with Text Mining Technique
Objective: To analyze the regularity of treating lung cancer with traditional Chinese medicine (TCM) herbs
and supply a foundation for the clinical practice. Method: All the references searched from Chinese biomedical literature database (CBM) were analyzed with one dimension sensitive character frequencies analysis. Then a co-existed herbs network was set up. The final analysis included three of all the networks. Result: Ginseng (Radix Ginseng) and Milkvetch Root (Radix Astragali) were the primary tonic herbs in treating lung cancer. The regularity of prescriptions was consistent to therapeutic principle of supplementing qi and nourishing yin
strengthening the spleen and reducing phlegm
and removing the toxic and stagnation. Conclusion: The regularity was consistent to the etiology and pathogenesis of lung cancer. And it will be useful for the clinical application. Text mining could be used as a reliable tool of TCM research.
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Related Institution
Henan Province Hospital of Traditional Chinese Medicine
The Second Clinical Medical College, Henan University of Chinese Medicine
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