| With the rapid development of traditional Chinese medicine (TCM), a lot of TCM diagnosis information has been accumulated. How to make use of it to derive valuable information and to provide decision support to TCM clinical diagnosis is important for TCM information development. In this paper, data mining technology and its application in TCM diagnosis field are discussed in detail. Classification is one of the most important branches of data mining research works.The target of classification is to find out a classification model. The model can map a single record in database to a pre-assumed class. In all of the classification arithmetic, decision tree is a technique which is in common use and easy to implement. ID3 algorithm is an influential algorithm in the field of learning from example proposed by J.R. Quinlan in 1986.In the example of this paper this algorithm was used. According to the characteristics of the TCM Zang-Fu syndrome differentiation data, we optimize and predigest the classical algorithm, then the improved algorithm was applied to knowledge discovery from clinical data in TCM. In our research, Visual Studio .NET and SQL Server are adopted as development tools to implement this as a component, Primary results showed that it could obtain the best diagnosing performance and be reused in TCM diagnosis domain. During the decision tree model, the old Zang-Fu syndrome differentiation data are analyzed, the clinical Zang-Fu syndrome differentiation data are forecasted and the operating efficiency is raised. In the whole developing process, we use the component idea all the time and introduce some basic theory.In order to explain how to implement the development process and software reuse technologies, an example of TCM Zang-Fu syndrome differentiation system is presented.The structure is given too. It tells how to do domain analysis and design, and how to implement the process by reusing the existing components, by which the developers can construct a system quickly. |
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