Interactive Data-mining Framework Based on Normalization of Syndrome Differentiation in Traditional Chinese Medicine
面向中医辨证规范的交互式数据挖掘框架

In the traditional normalization of syndrome differentiation in traditional Chinese Medicine the methods of empirical logic analysis and mathematic statistics are usually used and mathematic models are previously chosen instead of being determined by the inherent laws of respective syndromes, and as a result the objective truth of the normalization is in doubt. This article presents the study that on the basis of the "projects tackling key Scientific and technical problems in the 10th Five-Year Plan of China" an interactive data-mining framework with models of three tiers for the differentiation of syndromes of pneumonia in children is designed in TCM, which is able to promote the combination of data-mining technology with the modernization of traditional Chinese medicine via man-machine interaction while mining data involved.