数据挖掘技术在小儿肺炎中医临床疗效评价研究中应用的思路与方法

中医辨证体系具有复杂非线性特点，决定了中医疗效评价研究不能为简单的因果推断，不是线性的。以往小儿肺炎疗效评价指标及方法的选择有其局限性。本文主要介绍了应用数据挖掘技术探索性研究小儿肺炎中医疗效评价指标和方法所形成的一些思路和方法。认为在系统的中医辨证规范研究基础上进行小儿肺炎疗效评价研究具有科学性。选择数据挖掘方法用来处理中医辨证中多层面海量的信息，在小儿肺炎疗效评价指标筛选上具有较强的优越性。同时介绍了用于小儿肺炎中医临床疗效评价指标研究的一些主要数据挖掘技术分类及实施策略。

Thinking and Methods Concerning Applying Data-mining Technique in Clinical Efficacy Evaluation of TCM Treatment for Child's Pneumonia

TCM syndrome differentiation system (TCM-SDS) possesses a complex nonlinear characteristic, which determines the falt that the evaluation of TCM efficacy should not be simplified to a causal or linear relationship. Previous selected indexes and methods for evaluating curative effect of Child's pneumonia have their limitations. This paper mainly introduces several thoughts and methods formed in the exploratory researches, employing data mining technology in this field. We believe that efficacy evaluation research of Child's pneumonia on the basis of standardized study of TCM-SDS is a scientific work. Applying data mining method in processing enormous and multilayer information of TCM differentiation has strong advantages in screening evaluating indexes of Child's pneumonia. Meanwhile, some major concerning technical categorizations and implementing strategies for the research are also introduced.