基于数据挖掘的名老中医经验传承研究述评

数据挖掘又称数据库知识发现，是从海量数据中揭示出隐含的、先前未知的并有潜在价值的信息的非平凡过程。近年来，数据挖掘在中医药研究领域的应用日益广泛，特别是在名老中医经验传承领域发挥着重要作用。该文对关联规则、贝叶斯网络、神经网络、决策树、复杂系统熵方法等数据挖掘方法在名老中医经验传承研究中的应用进行总结，并对常用研究方法的优势和不足进行剖析，指出将数据挖掘方法进行集成而开发相应的软件，是其重要的研究方向。

Comment on applications of data mining used in studies of heritage of experiences of national medical masters

Data mining, as known as knowledge discovery in databases, is a non-trivial process of revealing the implied, previously unknown and potentially useful information from the massive data. In recently years, the applications of data mining in the field of pharmaceutical research of traditional Chinese medicine have widespread. Especially in the field of the heritage of experiences of national medical masters, data mining plays an important role. In this study, we would expound of the use of methods of data mining in the heritage of experiences of national medical masters, and analyze their advantages and disadvantages, such as association rules, Bayesian networks, neural networks, and decision trees.