面向中医证候的慢性肾小球肾炎数据仓库的研究

发布时间：2018-03-26 05:19

本文选题：数据仓库　切入点：中医　出处：《电子科技大学》2016年硕士论文

【摘要】：慢性肾小球肾炎是一种常见的慢性疾病,现代的医疗技术无法将其治愈。对于慢性肾小球肾炎,长期的中医实践积累了大量的文献及数据,为该病的治疗提供了丰富的经验和知识,因此将中医文献信息化具有十分重要的意义。本文结合中医诊断原理和数据仓库技术,对面向中医证候的慢性肾小球肾炎问题进行探讨。具体研究工作如下:1.对基于文本信息的中医数据进行结构化存储,利用实体-关系模型建立数据库。2.在建立数据仓库之前,分析中医数据特点,并对中医数据进行预处理,分别处理术语不统一、数据不完整、药物扩展属性预处理三种情况。对证候、治法、药物建立术语规范表来解决术语不统一的问题。通过存储文献相关信息,来确保信息完整性,减少错误信息。由于药物扩展属性和药物之间是多对多关系,通过建立实体来实现对药物扩展属性的预处理。3.建立数据仓库。通过分析5个要素选取中心数据仓库架构作为本系统架构。根据诊断原理选取证候治疗主题、治法功效药物主题、方剂功效主题、方剂主治主题作为研究主题。证候治疗主题用证候、治疗方法、方剂来描述治疗方案。治法功效药物主题用来探索治法和功效之间的聚集关系。方剂功效主题通过方剂的功效以及治法和功效之间的聚集关系,来验证“方从法出”的思想。方剂主治主题用来描述方剂的适用范围。采用维度建模的方法对每个主题进行建模并对证候、治法两个维度进行粒度设计。最后,实现每个主题的ETL、OLAP、报表展现功能。
[Abstract]:Chronic glomerulonephritis is a common chronic disease, which can not be cured by modern medical technology. It provides rich experience and knowledge for the treatment of the disease, so it is very important to informationization the TCM literature. This paper discusses the problem of chronic glomerulonephritis facing TCM syndromes. The specific research work is as follows: 1. The traditional Chinese medicine data based on text information is stored structurally, and the database is established by using entity-relational model. 2. Before the establishment of data warehouse, This paper analyzes the characteristics of TCM data, and preprocesses TCM data, dealing with three cases, namely, disunity of terms, incomplete data, preprocessing of extended attributes of drugs. Drugs establish a glossary of terms to solve the problem of terminology disunity. By storing relevant information in the literature to ensure the integrity of the information and reduce the error information, because the drug extension attributes and drugs are many-to-many relationships, Through the establishment of entities to achieve the preprocessing of drug expansion attributes .3. to establish a data warehouse. Through the analysis of five elements to select the central data warehouse architecture as the system framework, according to the diagnosis principle to select the subject of syndrome treatment, The theme of treatment efficacy, the theme of prescription efficacy, the subject of prescription treatment as the research theme, the theme of syndrome treatment, the treatment method, Prescription describes the treatment plan. The therapeutic efficacy drug theme is used to explore the aggregation relationship between the treatment and the efficacy. The prescription efficacy theme is based on the efficacy of the prescription and the aggregation relationship between the treatment and the efficacy. To verify the idea of "square from the method". The main subject of prescription is used to describe the scope of application of the prescription. The method of dimensionality modeling is used to model each topic and to design the granularity of the two dimensions of syndrome and treatment. Finally, Implementation of each topic ETL OLAP, report presentation function.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP311.13;R277.5

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