| Research on component law of Chinese patent medicine for anti-influenza and development of new recipes for anti-influenza by unsupervised data mining methods. | |
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MedLine Citation:
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PMID: 21287787 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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OBJECTIVE: To analyze the component law of Chinese patent medicines for anti-influenza and develop new prescriptions for anti-influenza by unsupervised data mining methods. METHODS: Chinese patent medicine recipes for anti-influenza were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs and new prescriptions were analyzed by using modified mutual information, complex system entropy cluster and unsupervised hierarchical clustering, respectively. RESULTS: Based on analysis of 126 Chinese patent medicine recipes, the frequency of each herb occurrence in these recipes, 54 frequently-used herb pairs, 34 core combinations were determined, and 4 new recipes for influenza were developed. CONCLUSION: Unsupervised data mining methods are able to mine the component law quickly and develop new prescriptions. |
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Authors:
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Shi-Huan Tang; Jian-Xin Chen; Geng Li; Hong-Wei Wu; Chang Chen; Na Zhang; Na Gao; Hong-Jun Yang; Lu-Qi Huang |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan / sponsored by All-China Association of Traditional Chinese Medicine, Academy of Traditional Chinese Medicine Volume: 30 ISSN: 0255-2922 ISO Abbreviation: J Tradit Chin Med Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2011-02-03 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8211546 Medline TA: J Tradit Chin Med Country: China |
Other Details:
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Languages: eng Pagination: 288-93 Citation Subset: IM |
Affiliation:
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Institute of Chinese Materia Medica, China Academy of Traditional Chinese Medicine, Beijing 100700, China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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