文档介绍：%、阴性预测的准确率为 %,为心悸阴虚火旺证的诊断提供了客观依据。 ,找到了中医治疗心悸阴虚火旺证处方用药规律,推导出心悸阴虚火旺证的治则以滋阴降火,养心安神为主。 5. 通过两个典型病案的分析,得出数据挖掘结果对临床诊断治疗心悸阴虚火旺证有指导价值。结论:本研究建立了心悸阴虚火旺证中医证候、方药信息数据库,运用数据挖掘技术分析出心悸阴虚火旺证的证候分布规律、证候标识要素和方药使用特色,构建简明、规范的证候标识和方药体系,从而为心悸阴虚火旺证的中医证候规范和方药配伍规律提供依据,对本病的临床诊疗具有指导价值。关键词心悸;阴虚火旺证;证治规律;病案应用;数据挖掘 Study of treatment principle of the syndrome of yin deficiency with effulgent of palpitations based on the data mining technology Speciality: Cardiovascular disease,In ternal Medicine of TCM Author: Liu Baijie Tut or: Li Yunlun Abstract This study from “Century Excellent Tale nts Support Program of the Ministry of Education (NCET-07-0522)” Objective : This paper aimed at establishing information database of palpitation-related cases based on studying ancient and current palpitation-related cases, and interpreting recorded data through data mining methods such as rough set theory, 2 ? test or rank sum test, the non-conditional logistic regression model and association rule, as well as finding out new knowle dge about the syndrome differentiation of palpitation and yin deficiency -hyperactivity of fire and position, and exploring diagnosis and trea tment discipline of palpitation and yin deficiency- hyperactivity of fire. Methods: (1) Based on the ancient and current re ference materials, database about TCM syndrome of palpitation and yin deficiency -hyperactivity of fire as well as herbs information was established. (2) Symptoms were treated with language standardization and quantified assignment, and then symptom attributes were reduced through Rosetta software of the KDD analytical-operational system based on rough set theory, thus gaining expert knowledge about palpitation and yin deficiency- hyperactivity of fire, and statistics about decision rules of this system so as to establish syndrome differentiation system of palpitation and yin deficien cy-hyperactivity of fire. (3) Factors with differential significance of palpi