Application of data mining technology for inheriting medical experience of famous traditional Chinese medicine veterans in the diagnosis and treatment of diabetes mellitus
{"title":"Application of data mining technology for inheriting medical experience of famous traditional Chinese medicine veterans in the diagnosis and treatment of diabetes mellitus","authors":"Yi Li, Guijie Wang, Bo Pang","doi":"10.53388/tmrth202309014","DOIUrl":null,"url":null,"abstract":"The inheritance of academic experience of famous traditional Chinese medicine (TCM) practitioners is the living soul of TCM. Applying systematic and scientific inheritance methods is an important means to continue the characteristic theory and unique experience of TCM. Data mining technology is a scientific research method based on the interdisciplinary content of statistics, informatics and other disciplines, and has played an important role in the inheritance of academic experience of famous TCM veterans in recent years. With the challenges of the information revolution and artificial intelligence era, TCM needs to use information technology’s unique advantages in inheriting essence and maintaining integrity and innovation to realize a high degree of integration of knowledge discovery and learning, experience, and inheritance. Taking diabetes mellitus, with high incidence in our country, as an example. This study commented on the research of data mining technology in the diagnosis and treatment inheritance of diabetes among famous traditional Chinese medicine veterans, systematically discussed the current situation, dilemma, prospect and outlook to provide new ideas for the inheritance of the diagnosis and treatment experience of famous TCM veterans with diabetes.","PeriodicalId":338270,"journal":{"name":"Medical Theory and Hypothesis","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Theory and Hypothesis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53388/tmrth202309014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The inheritance of academic experience of famous traditional Chinese medicine (TCM) practitioners is the living soul of TCM. Applying systematic and scientific inheritance methods is an important means to continue the characteristic theory and unique experience of TCM. Data mining technology is a scientific research method based on the interdisciplinary content of statistics, informatics and other disciplines, and has played an important role in the inheritance of academic experience of famous TCM veterans in recent years. With the challenges of the information revolution and artificial intelligence era, TCM needs to use information technology’s unique advantages in inheriting essence and maintaining integrity and innovation to realize a high degree of integration of knowledge discovery and learning, experience, and inheritance. Taking diabetes mellitus, with high incidence in our country, as an example. This study commented on the research of data mining technology in the diagnosis and treatment inheritance of diabetes among famous traditional Chinese medicine veterans, systematically discussed the current situation, dilemma, prospect and outlook to provide new ideas for the inheritance of the diagnosis and treatment experience of famous TCM veterans with diabetes.