数据挖掘及其在中医药现代化研究中的应用

数据挖掘是为解决"数据丰富,知识贫乏"状况而兴起的知识获取技术,在相关领域专家指导下,它可以实现对海量数据的智能分析,得到事物本质及可预测其发展趋势的、隐含的模式或规律.在中医药现代化研究中,采用以数据挖掘为代表的高级信息处理技术进行反映其隐含本质知识的获取研究,将进一步加速中医药知识更新的步伐,为构建现代中医药学和中药现代饮片理论奠定坚实的理论和实践基础.应用数据挖掘多种分析方法,与数据仓库、联机分析处理和专家系统等技术相结合,建立能够实现中医药数据多层面智能分析的综合智能决策支持系统,是加速推进中医药现代化的有效途径.

Data Mining and Its Application in the Modernization of Traditional Chinese Medicine and Traditional Chinese Pharmacy

Data mining is designed to cope with the situation of "rich data and poor knowledge." Under the instructions of the experts in relevant fields, it may be used to carry out the intelligent analysis of mass data, to grasp the essence of things, and to predict the tendency and implicit patterns or regularity of the development of things. The application of advanced information processing techniques, the data mining for example, in the modernization of the traditional Chinese medicine (TCM) and traditional Chinese pharmacy (TCP), for acquiring the knowledge characterized by its implicit nature, will speed the update of the knowledge of TCM and TCP and lay sound theoretical and practicable foundations for building modern TCM and TCP theories. It is an effective way for speeding the modernization of TCM and TCP to establish a general intelligent decision support system for multi level intelligent analysis of TCM and TCP data by using a combination of a variety of data mining techniques, data warehousing techniques, online analytical process technology and expert systems.