title: [Comment on applications of data mining used in studies of heritage of experiences of national medical masters].
abstract: 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 na-tional 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.
authors.forename: Jia-Rui
authors.initials: JR
authors.lastname: Wu
authors.forename: Shi-Huan
authors.initials: SH
authors.lastname: Tang
authors.forename: Wei-Xian
authors.initials: WX
authors.lastname: Guo
authors.forename: Xiao-Meng
authors.initials: XM
authors.lastname: Zhang
authors.forename: Bing
authors.initials: B
authors.lastname: Zhang
mesh_terms: D057225:Data Mining; D062313:Databases, Pharmaceutical; D008516:Medicine, Chinese Traditional; D016571:Neural Networks, Computer