ABSTRACT
Data mining is an important method to obtain the key information from a large amount of data, and it is widely applied in the research on the modernization of traditional Chinese medicine(TCM). The compatibility law of herbs is a key issue in the research of TCM prescriptions. This reflects the flexibility and effectiveness of TCM prescriptions, and it is also a crucial link to the development of TCM modernization. Therefore, it is the core purpose of the research on TCM prescriptions to find the compatibility law of herbs and clarify the scientific connotation. Data mining, as an effective method and an important approach, has formed a standardized system in the research of compatibility law of herbs, which can reveal the relationship between different Chinese herbs and summarize the internal rules in compatibility. Two hundred and twenty two effective papers were sorted out and categorized in this article. The results showed that data mining was mainly applied in finding the core Chinese herb pairs, summarizing the utility and attributes of TCM prescriptions, revealing the relationship between prescriptions, Chinese herbs and syndromes, finding the optimal dose of Chinese herbs, and producing the new prescriptions. The problems of data mining in research of herbs compatibility rules were summarized, and its development and trend in current researches were discussed in this article to provide useful references for the in-depth study of data mining in the compatibility law of Chinese herbs.
Subject(s)
Humans , Data Mining , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Prescriptions , SyndromeABSTRACT
Objective To discuss the specific role of association rules in the compatibility of herbs and the relationship between herbs and symptoms by analyzing ancient analogous prescriptions Zhizichi Decoction with SQL Server software.Methods The prescriptions which contain Gardenia and Semen Sojae Preparatum were searched in the database of “Ancient Prescriptions for Epidemic Disease”, and they were imported to software with the standardized data of their symptoms and ingredients, then the proper association rules were found. The laws between parameter setting and rule generation were searched through parameter adjustment.Results Many laws of the drug compatibility and relationship between herbs and symptoms were obtained effectively in data mining by adjusting the parameters:The support setting was good for finding common used drug compatibility, and the confidence was good for finding specific drug compatibility and relationship between herbs and symptoms;the item set which had high frequency, sometimes made the rule’s importance low.Conclusion The laws of compatibility of herbs and the relationship between herbs and symptoms for data mining of analogous prescriptions are discovered by analyzing the support, confidence and importance of the association-rules and the clinical magnificence between symptoms and herbs.
ABSTRACT
Objective To observe the effect of Chinese herbs most used in rheumatoid arthritis such as diaphoretics (ephedra), wind-expelling herbs (monkshood), blood activating drugs (angelica) and compound mixture in treating adjuvant arthritis, and study the compatibility law. Methods AA rats in groups were treated with ephedra-cinnamon twig mixture, monkshood-aconitum mixture, angelicachuanxiong mixture, herbs compound mixture, low dose herbs compound mixture which is composed of above-mentioned herbs and semblable function herbs. Compare with normal group, model group, tripterygium wilfordii hook (TWH) group, TNF-? and PGE2 level of hindpaw were measured by ELISA and spectrophotometer. Weight index of immune organs were measured to study the effect of different functional ingredient groups and complex on immune function. Result The hinderpaw PGE2 level and TNF-? level of model group was higher than normal group (P