Document Detail

Study on the drug selection law for treatment of chronic gastritis with spleen deficiency and stomach dryness by complex system entropy cluster.
MedLine Citation:
PMID:  21287788     Owner:  NLM     Status:  In-Process    
OBJECTIVE: To study on Prof. GAO Zhong-ying's drug selection law for treatment of chronic gastritis with data mining technique.
METHODS: The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique.
RESULTS: In treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations.
CONCLUSION: The results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians' experiences.
Cheng-He Shi; Xiu-Juan Wang; Jian-Xin Chen; Ren-Quan Liu; Yu-Hao Zhao; Hong-Jun Yang
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Publication Detail:
Type:  Journal Article    
Journal Detail:
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:
Created Date:  2011-02-03     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8211546     Medline TA:  J Tradit Chin Med     Country:  China    
Other Details:
Languages:  eng     Pagination:  294-8     Citation Subset:  IM    
Section of Traditional Chinese Medicine, Third Hospital, Peking University, Beijing 100191, China.
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