方剂配伍关系的算法与利用研究

Study on Algorithm and Application of Prescription Compatibility Relation

本研究以大量同类方剂数据的分析方法为对象,建立了一系列包括数据处理、数学模型、计算规则、公式等内容的方剂树形分析算法,以此探讨符合中医特点的专门数据挖掘方法;并以病毒性心肌炎的近10年中医方剂治疗文献为分析对象,从中筛选出高质量辨证论治方案,应用方剂树形分析算法,其中7个证型可以计算获得一定合理性的基本方,再以气阴两虚证候的方剂为例,建立23条筛选方案的树形结构图以进行方剂配伍分析,提示绝大部分方案以益气养阴的麦冬、五味子、黄芪为基础进行治疗,且在基础上往往配以活血凉血(丹参、生地、赤芍)。

This study, for analysis methods to similar Chinese Medicine formulas, set up formulas tree analytic algorithm including data processing, mathematical models, calculation rules, expressions and other processes, to explore data mining methods adapted to TCM. On the basis of this method, take example of viral myocarditis treatment literature in the past 10 years, analysis the basic formula and compatibility relationship contained.