【正文】 ngterm development of Chinese medicine has accumulated a great deal of clinical experience, treatment, prescription drugs, and other information relevant knowledge about the history of literature. using data mining methods to study inherit old TCM clinical experience, digging finishing their academic thinking, innovation and research methods, bined with the application of data mining technology, machine learning technology and other intelligent technology, and striving to get the real experience of old TCM, easily inheritors learning.. The main work is as follows: 1． indepth analysis and discussion of the typical association rule mining algorithms Apriori algorithm, plete the basic idea of the database mining on the basis of this algorithm. 2． Visual BAS work on Windows XP platform C6. 0 environment, using Apriori algorithm, developed analysis of medical records system ， based on data mining for TCM hypertension. 3． based on considering the reliability, accuracy and integrity of the original data this study, the foundation of the China Academy of TCM Thoracic Obstruction emergency. From January 2020 to October 2020, research Director State Administration of Traditional Medical Administration chest stuffiness and emergency coordination team leader Mr. Shen， 65 copies of medical records Medical Records are used for the Source of hypertension, for example, using Apriori algorithm to search frequent item sets, The 北京科技大 學(xué)本科生畢業(yè)設(shè)計（論文） 5 resulting medical case model is almost exactly in line with monly prescribed when professor Shen is in the treatment of hypertension. In this paper, hypertension treatment system, only in the diagnosis and treatment of secondary hypertension, is the first attempt and exploration to rely on manual skills and puter technology to the diagnosis and treatment hypertension .Break the previous simple application of finishing, inductive method summarizing the experience of old TCM traditional thinking , created new ideas and new methods using a puteraided analysis of old TCM experience Hope to provide a useful reference for subsequent personnel engaged in related research. Keywords: association rules。突破了以往單純應(yīng)用整理、歸納方法總結(jié)名老中醫(yī)經(jīng)驗(yàn)的傳統(tǒng)思路，開創(chuàng)了應(yīng)用計算機(jī)輔助分析名老中醫(yī)經(jīng)驗(yàn)的新思路和新方法。 基于原始數(shù)據(jù)的可靠性、準(zhǔn)確性和完整性方面的考慮，本研究以自 2020 年 1 月一 2020 年 10 月 中國中醫(yī)研究院基礎(chǔ)所胸痹急癥研究室主任、國家中醫(yī)藥管理局醫(yī)政司胸痹急癥協(xié)作組組長沈紹功 先生醫(yī)案 65 份為醫(yī)案來源，以高血壓病為例，采用 Apriori算法 進(jìn)行頻繁項(xiàng)集的搜索，所得醫(yī)案模型幾乎完全符合沈 教授在治療高血壓病時常用的處方 。 本文的主要研究工作如下： 深入分析和探討了典型的關(guān)聯(lián)規(guī)則挖掘算法 Apriori 算法，在此算法 的基礎(chǔ)上完成數(shù)據(jù)庫挖掘的基本構(gòu)思。中醫(yī)學(xué)經(jīng)過長期的發(fā)展積累了大量的關(guān)于臨證經(jīng)驗(yàn)及治法、方劑、藥物和相關(guān)知識等信息的歷史文獻(xiàn)。 中醫(yī)知識的代代相傳多為言傳身教，無形中為中醫(yī)的知識的傳播與造福大眾制造了阻礙。北京科技大 學(xué)本科生畢業(yè)設(shè)計（論文） 1 目錄 目錄 ................................................................................................................................ 1 摘 要 ....................................................................................................................... 3 Abstract ........................................................................................................................... 4 第一章 緒論 ............................................................................................................... 7 課題提出的背景及研究意義 ............................................................................ 7 相關(guān)研究的現(xiàn)狀 ............................................................................................... 8 高血壓領(lǐng)域的研究現(xiàn)狀 .......................................................................... 8 關(guān)聯(lián)規(guī)則的研究現(xiàn)狀 .............................................................................. 9 本課題的主要研究目標(biāo) .................................................................................. 10 第二章 數(shù)據(jù) 挖掘技術(shù)研究 .......................................................................................... 11 數(shù)據(jù)挖掘技術(shù)及其在中醫(yī)藥研究中的應(yīng)用 ................................................... 11 數(shù)據(jù)挖掘簡介 ....................................................................................... 11 數(shù)據(jù)挖掘的功 能概述 ............................................................................ 14 數(shù)據(jù)挖掘技術(shù)在中醫(yī)藥研究中的應(yīng)用 ................................................. 16 數(shù)據(jù)挖掘和傳統(tǒng)數(shù)據(jù)分析工具和學(xué)習(xí)機(jī)器的區(qū)別 .............................. 18 關(guān)聯(lián)規(guī)則 ......................................................................................................... 19 關(guān)聯(lián)規(guī)則介紹 ....................................................................................... 19 關(guān)聯(lián)規(guī)則的有關(guān)定義 ............................................................................ 20 關(guān)聯(lián)規(guī)則的分類 ................................................................................... 23 2． 3 挖掘關(guān)聯(lián)規(guī)則的經(jīng)典算法介紹 ................................................................... 24 AIS 算法 .............................................................................................. 25 APRIORI 算法 .................................................................................... 25 不產(chǎn)生候選挖掘頻繁項(xiàng)集算法 ............................................................ 28 北京科技大 學(xué)本科生畢業(yè)設(shè)計（論文） 2 第三章 中醫(yī)醫(yī)案分析系統(tǒng)的實(shí)施及結(jié)果分析 ........................................................... 32 系統(tǒng)體系結(jié)構(gòu) ................................................................................................. 32 功能模塊 ......................................................................................................... 33 原始數(shù)據(jù)錄入 .............................................................................................. 33 中醫(yī)醫(yī)案模型創(chuàng)建模塊 ........................................................................ 35 模型瀏覽模塊 ....................................................................................... 35 數(shù)據(jù)存儲結(jié)構(gòu)的設(shè)計 ...................................................................................... 36 算法設(shè)計的基本思想及實(shí)現(xiàn)過程 .................................................................. 39 算法設(shè)計的基本思想 ............................................................................ 39 Apriori 算法的實(shí)現(xiàn)過程 ......