中医诊断模型构建中的两种常用数据挖掘分类技术

Two Classification Algorithms of Data Mining Frequently Adopted in Creating Diagnosis Model of Traditional Chinese Medicine

决策树和神经网络是经典的数据挖掘分类技术,介绍这两种常用分类技术及其在中医诊断模型构建中的应用,分析总结了算法的优势与不足,以期为研究者在选择算法时提供依据。

The creation of diagnosis model of traditional Chinese medicine is the classification of tradi- tional Chinese medicine samples in essence. Classification decision tree and neural network are two classical data mining technologies. These two classification technologies and their application in the creation of diag- nosis model of traditional Chinese medicine are introduced in this paper. The advantages and disadvantages of both technologies are analyzed in detail, providing a basis for researchers to choose the appropriate algo-rithm.