传统的中医辨证规范采用经验式的逻辑分析方法和数理统计方法,数学模型都是预先选定的,不是由具体病证的内在规律决定,因而规范结果的客观真实性受到一定的质疑。本文在“十五攻关”项目的基础上,设计了基于小儿肺炎中医辨证的交互式数据挖掘框架,采用三层模型,在挖掘信息的同时,通过人机交互,推动了数据挖掘技术和传统中医现代化的结合。

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.

科学技术部国家“十五”科技攻关计划项目(2004BA721A05)以小儿肺炎为示范建立辨证规范及中医疗效评价方法体系的研究