【作者】 王春山；

【导师】 吴朝晖；

【作者基本信息】 浙江大学 ， 软件工程， 2006， 硕士

【摘要】 中药复方也称方剂,在中医药科学中扮演者非常重要的角色,几千年来积累的十余万首中药复方和已建立的众多中医药复方数据库,是中医药最为宝贵的资源和财富。 方剂是以中医药理论为指导,在辨证论治的前提下,针对病机的关键环节,以中药药性理论为基础,遵循方剂的配伍理论进行“君臣佐使”配伍,从而使群药形成“有制之师”,针对患者或证或病或症,达到整体综合调节的作用。“配伍”是将诸药按照一定规则进行组合,达到“剂和众味,君臣佐使互相生克”,并“调其过与不及”,使方剂针对病证形成整体综合调节治疗系统的方法,是方剂的核心,也是方剂研究的关键问题。 使用数据挖掘研究成果以及相关技术对中医药复方配伍历史数据进行智能分析,深化对中医病症与复方配伍的本质规律认识,能为有效地精简复方与合理配伍提供理论支持。这是中医药信息化重大课题之一。 随着中医药信息化进程的推进,方剂数据经过中医学界及相关领域广大工作者的不懈努力,规范整理形成了几大方剂数据库。复方数量达十几万首,其中中医古方剂库就包含了8万余方剂,因此本文的研究载体主要集中在中医古方剂库。本文将主要从以下几个方面阐述在配伍规律研究中所作的工作: 1、实现最大频繁关联模式算法,并在包括中医药古代方剂等三个数据集上取得了大量试验结果: 2、搭建中医药方剂配伍规律研究数据挖掘算法集成系统; 3、利用机器学习方法对中成药物的功效字段、古方剂库中复方功效词进行聚类规范,标准化及结构化; 4、对古方剂库中复方药物组成进行了切分,容错,规范,索引,最终达到结构化目的: 5、按方剂树的概念基于中医药数据挖掘平台开发方剂配伍规律研究子系统;更多还原

【Abstract】 TCM Compound Prescription (i.e. TCM Prescription) plays an important role in TCM science. Hundreds of thousands of TCM Compound Prescriptions accumulated over thousands of years and many established prescription databases has become the most precious resource and wealth of TCM.Under the prerequisite of dialectics, guided by the TCM theory, TCM Prescription bases on the medicinal theory and follows TCM Prescription Composition rules to the "principal-assistant-adjuvant-guiding(PAAG)"composition., aiming at the key point of diseases. Thus against the diseases, drugs has become the "Army with strict discipline" so as to get comprehensive accommodation. "Prescription composition" means compounding the medcines according to specific rules, making the goal of "compounding all the medcines and putting each medicine in the proper sites", and "adjusting the more and the less", implementing Therapy System for comprehensive accommodation against disease. Composition is the core of TCM Prescription, also the key problem in prescription research.Applying the research results of data mining and related technology to the intelligent analysis of historical TCM Prescription Composition data, this paper studies the basic rules between the TCM diseases and Prescription Compositions and provides theoretical support for the effective prescription simplification and reasonable composition, which is one of the important projects for TCMinformationalization.With the promotion of the TCM Informationalization Process and unremitting efforts of people in TCM and other related fields, TCM Prescriptions has been generalized into several prescription database. TCM prescriptions amount to several hundred thousand, among which the ancient prescription database contains 80 thousand prescriptions. Therefore, the paper emphasizes the ancient prescription database.It contributed to the areas as follows:1. advocate and implement the Apriori Algorithm, also achieve a large amount of experimental results based on three dataset(including TCM ancient prescriptiondatabase etc.);2. establish a integrating platform for TCM prescription data mining;3. apply the machine learning technology to the standardization, index and structurization of effective field in Chinese Medicine table, classify, index and structurize the compound effective fields in TCM ancient prescription database;4. classify, correct, standardize and index the compound prescription ingredients in TCM ancient prescription database for the structurization;5. develop research system for the TCM Prescription Composition rules according to the concept of prescription tree.The paper is supported by project fund as follows: the constructing and sharing of TCM scientific and technical information database (2002DEA30042), basic research in key scientific problem of 973 project (2003CB317006) .更多还原