Establishment Of Data Mining Model And Its Application In Literatures Of Chinese Medicine

The occurrence and development of traditional Chinese medicine is based on the Five-thousand year's Chinese cultural deposits.The numerous clinical practices and theoretical studies in the field of traditional Chinese medicine accumulate a large amount of scientific knowledge,which contained in ancient Chinese medicine literatures and current research literatures.Facing with such massive traditional Chinese medicine data,how to use of these valuable resources effectively has become a problem to develop traditional Chinese medicine.Traditional Chinese medicine has its own mode of thinking,such as systematicness,entirety,complexity,uncertainty and so on,which is not appropriate to be researched in the method of traditional reductionism.Data mining can seek for the potential law from the massive data and complete the tasks that ordinary people can't do.At present,the correlative technologies and methods of data mining have been mature,which also exist a kind of good-effective methods.Therefore,applying data mining technology to research on acquisition of the effective mode and knowledge,will accelerates the internationalization,modernization,standardization and knowledgeization processes of traditional Chinese medicine,which has great significance on the long-term stable development of traditional Chinese medicine.Data Mining(DM),developing with artificial intelligence and technique of database nearly 20 years,is a cross discipline of different subjects and interdisciplinary areas,involving artificial intelligence and databases,statistics, machine learning,etc.In this paper,Data mining is used by the broad point of view (KDD), Namely the process of mining interesting knowledge from massive data stored in the database,data warehouse or other information base.Facing with the diversification and imperfection of traditional Chinese medicine data description,it is necessary to improve and develop existing data mining techniques.In this paper,we use KDD method as a basis to create a data mining mode of man-machine interaction,to minimize the workload of people performance and directly use textual data as handling purpose.This method is used in the traditional Chinese medicine literatures,which could extract,unite and discover knowledge from a large number of literatures and could make the data mining mode quickly handle a large number of traditional Chinese medicine literatures and excavate knowledge in specific areas.The results about the data mining model in the application and research of traditional Chinese medicine literatures show that:(1) it can make the mark and index in accordance with the principle,law,formula and drugs of traditional Chinese medicine,reveal the same or similar drugs used by the six famous doctors.(2) Mining the data from drug laws of "Fu Qing-zhu gynecology",it found that Radix Angelicae Sinensis,Radix Ginseng,Rhizoma Chuanxiong,liquor,Radix Paeoniae Alba,poria,etc and their compatibility drugs are most commonly used,which suggest the importance of nourishing and adjusting blood,invigorating vital energy and spleen.Among,the widespread use of alcohol is an extraordinary exception, which is rarely mentioned in the previous literatures.(3) Through deeply researching 487 prescriptions for cardiac spasm,it shows that Qi regulating agents share the highest frequency,seasoned orange peel,Radix Aucklandiae,Radix Glycyrrhizae, Cortex Cinnamomi Cassiae,Radix Ginseng,etc and their compatibility drugs are most commonly used.However,there is a major difference of clinical medication of Fructus Chebulae and drugs for dispelling internal cold.Additional,prescriptions for cardiac spasm are more chosen in the form of powder and pills,the method of drug administration are irrespective of time,oral and hold in the mouth,which could prolong contact time of the drug and partial lesions so as to enhance efficacy.