Core problems and countermeasures of data mining method in the study of ancient books of traditional Chinese medicine
Ancient books of traditional Chinese medicine are an important carrier of Chinese medicine academic system and original thinking,and also the main source of traditional Chinese medicine innovation in modern times.Nowadays,data mining technology provides an effective way to summarize knowledge and experience of ancient books of traditional Chinese medicine.However,due to the large time span,wide content coverage and complex language structure of ancient books of traditional Chinese medicine,there is a certain contradiction between data standardization and ancient book of traditional Chinese medicine.Based on the application status of data mining technology in the study of ancient books of traditional Chinese medicine,this study summarizes four core issues at present,and specific examples are given accordingly.Firstly,the conclusions are highly similar,so the innovation value needs to be improved.Secondly,the range of reasoning is small or large,which leads to inaccurate conclusions.Thirdly,avoiding the original date and using secondary data leads to lower credibility of the conclusion.Finally,since medication methods are often ignored,it is difficult to explore the characteristics completely.And concrete examples are used to illustrate the above.At the same time,the causes of the problems are analyzed,and three countermeasures are put forward,including establishing a value evaluation system in advance,giving full play to the dual advantages of qualitative and quantitative,and paying attention to low-frequency prescriptions and herbs and medication methods,in order to provide ideas and inspiration for the solution of related problems.
Ancient books of traditional Chinese medicineData miningCore problemsCountermeasuresInnovation value
NETL
NSTL
万方数据
