OBJECTIVE:Because herbal compatibility is one of the most important reasons why Traditional Chinese Medcine(TCM) formulas are effective for acquired immunodeficiency syndrome(AIDS),our study aimed to determine the com...OBJECTIVE:Because herbal compatibility is one of the most important reasons why Traditional Chinese Medcine(TCM) formulas are effective for acquired immunodeficiency syndrome(AIDS),our study aimed to determine the compatibility of herbs based on published AIDS clinical research in Chinese periodicals.To achieve this aim,we designed a new data-mining algorithm according to TCM data characteristics.METHODS:We found 25 clinical AIDS studies,all using Chinese herbs for treatment,in the Traditional Chinese Medicine Database System,and information on diagnosis and treatment was extracted.To find out herbal compatibility,especially the formulae for herbal combinations,we proposed an improved association rule algorithm based on the frequency of combinations.In this algorithm,all the compatibility relationships were displayed in a tree structure,by which the relationship between formulas and their derivation could be clearly inferred.RESULTS:Data analysis showed that approximately 100 herbs have been used for treating AIDS.Based on the whole herb compatibility tree,we calculated a basic formula for AIDS:Huang Qi combined with Ren Shen,Fu Ling,Bai Zhu,Bai Zhu,Dang Gui,and Bai Shao.This formula,deriving from most of clinical prescriptions,and was chosed by most of clinicians for AIDS treatment.From data mining we found that Qi replenishment and detoxification were the main treatment principles,which coincided with the AIDS pathological mechanism in which immune function is destroyed by human immunodeficiency virus(HIV).CONCLUSIONS:Our data-mining results suggest that the core TCM treatment of AIDS is replenishing Qi and detoxification,by which AIDS patients' immune system may be enhanced.Compatibility of Huang Qi with some frequently-used herbs have shown real efficacy in clinical practice,which warrants pharmacological research in the future.展开更多
基金Supported by National 863 Project-High Performance Computer and Grid Service Environment-Traditional Chinese Medicine Scientific Data Grid Service Applications (2006AA01A122)
文摘OBJECTIVE:Because herbal compatibility is one of the most important reasons why Traditional Chinese Medcine(TCM) formulas are effective for acquired immunodeficiency syndrome(AIDS),our study aimed to determine the compatibility of herbs based on published AIDS clinical research in Chinese periodicals.To achieve this aim,we designed a new data-mining algorithm according to TCM data characteristics.METHODS:We found 25 clinical AIDS studies,all using Chinese herbs for treatment,in the Traditional Chinese Medicine Database System,and information on diagnosis and treatment was extracted.To find out herbal compatibility,especially the formulae for herbal combinations,we proposed an improved association rule algorithm based on the frequency of combinations.In this algorithm,all the compatibility relationships were displayed in a tree structure,by which the relationship between formulas and their derivation could be clearly inferred.RESULTS:Data analysis showed that approximately 100 herbs have been used for treating AIDS.Based on the whole herb compatibility tree,we calculated a basic formula for AIDS:Huang Qi combined with Ren Shen,Fu Ling,Bai Zhu,Bai Zhu,Dang Gui,and Bai Shao.This formula,deriving from most of clinical prescriptions,and was chosed by most of clinicians for AIDS treatment.From data mining we found that Qi replenishment and detoxification were the main treatment principles,which coincided with the AIDS pathological mechanism in which immune function is destroyed by human immunodeficiency virus(HIV).CONCLUSIONS:Our data-mining results suggest that the core TCM treatment of AIDS is replenishing Qi and detoxification,by which AIDS patients' immune system may be enhanced.Compatibility of Huang Qi with some frequently-used herbs have shown real efficacy in clinical practice,which warrants pharmacological research in the future.