本文選題：中醫(yī)藥學 + 復方分析��； 參考：《西南交通大學》2017年碩士論文

【摘要】：中醫(yī)藥學,作為中華兒女千百年來通過不斷實踐、不斷同各類疾病作斗爭的優(yōu)秀民族文化遺產,具備獨特的診療理論體系,同時在歷史發(fā)展的長河中也留下了許多傳世的醫(yī)學典著。目前,我國初步完成了該領域數(shù)據(jù)的信息化建設工作,人們可以通過這些中醫(yī)藥學數(shù)據(jù)共享平臺檢索自己所需的信息,但中醫(yī)藥學極具多樣性和復雜性,且僅僅對著龐大的數(shù)據(jù)集進行檢索勢必不能很好地發(fā)揮其價值,需要通過結合現(xiàn)代數(shù)據(jù)分析手段去探索其中的奧秘。中藥復方規(guī)律研究作為中醫(yī)藥學現(xiàn)代化的重要組成部分,不但豐富和發(fā)展了復方學理論,同時為復方臨床應用和新藥研發(fā)提供客觀依據(jù)。本課題就中醫(yī)藥領域的配方規(guī)律展開研究,并設計了一個中醫(yī)藥學數(shù)據(jù)挖掘系統(tǒng),為新藥研發(fā)、古方探索等工作提供客觀的參考。具體的研究內容如下:(1)介紹了中醫(yī)藥學相關數(shù)據(jù)的特點并分析了其中存在的數(shù)據(jù)規(guī)范化問題,對中藥藥物數(shù)據(jù)和復方數(shù)據(jù)的具體預處理手段進行詳細的說明。(2)提出一種復方關聯(lián)規(guī)則分析方法。針對傳統(tǒng)關聯(lián)規(guī)則挖掘算法中存在的不足,提出挖掘正負關聯(lián)規(guī)則的方法,并針對于引入負事務項后存在的一些問題比如爆炸式頻繁項集增長問題和算法的挖掘效率問題提出相應的解決方案。(3)提出一種新的復方網絡化分析方法。對傳統(tǒng)的中醫(yī)藥學復方數(shù)據(jù)進行網絡化建模,然后對復方網絡特性進行分析并以此為基礎利用社團發(fā)現(xiàn)方法進行進一步的挖掘。(4)設計并實現(xiàn)了中醫(yī)藥學數(shù)據(jù)挖掘系統(tǒng),該系統(tǒng)集成了數(shù)據(jù)預處理、復方關聯(lián)規(guī)則分析、復方網絡化分析等相關技術,為相關使用人員通過方便、簡潔的交互接口。
[Abstract]:Chinese medicine, as an excellent national cultural heritage in which the Chinese people have been constantly fighting various diseases for thousands of years through continuous practice, has a unique theoretical system for diagnosis and treatment. At the same time, in the history of the long river also left a lot of ancient medical classics. At present, our country has preliminarily completed the information construction of the data in this field. People can retrieve the information they need through these data sharing platforms of traditional Chinese medicine, but Chinese medicine is very diverse and complex. It is necessary to explore the mystery by combining the modern data analysis with the search of large data sets which is bound to be unable to give full play to its value. As an important part of the modernization of traditional Chinese medicine, the study on the law of compound Chinese medicine not only enriches and develops the theory of compound medicine, but also provides an objective basis for the clinical application of compound medicine and the research and development of new drugs. In this paper, the formula law in the field of traditional Chinese medicine is studied, and a data mining system of traditional Chinese medicine is designed, which provides an objective reference for the research and development of new drugs and the exploration of ancient Chinese medicine. The specific contents of the study are as follows: (1) introducing the characteristics of the relevant data of Chinese medicine and analyzing the problems of data standardization in them. In this paper, we give a detailed description of the pretreatment methods of traditional Chinese medicine (TCM) data and compound data. (2) A compound association rule analysis method is proposed. Aiming at the shortcomings of traditional association rules mining algorithm, a method of mining positive and negative association rules is proposed. A new method of compound network analysis is proposed to solve the problem of explosive frequent itemsets growth and mining efficiency of the algorithm. Based on the network modeling of traditional Chinese medicine compound data, this paper analyzes the characteristics of the compound network and uses the community discovery method to further mine the data mining system of traditional Chinese medicine and implements the data mining system of traditional Chinese medicine. The system integrates data preprocessing, complex association rule analysis, compound network analysis and other related technologies, through convenient and concise interactive interface for relevant users.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R2-03;TP311.13

【參考文獻】

相關期刊論文 前10條

1 朱昶勝;王莎莎;王永賢;;基于R+Hadoop的中藥材大數(shù)據(jù)的分析及預測[J];蘭州理工大學學報;2017年01期

2 劉聳峰;呂曉東;龐立健;劉創(chuàng);鄭煒東;臧凝子;滑振;趙仲雪;;基于聚類分析探究中藥復方治療肺間質纖維化臨床用藥規(guī)律[J];世界中醫(yī)藥;2016年07期

3 李瀛;隋毅;;基于復雜網絡的《傷寒論》六經病證用藥規(guī)律研究[J];中國中醫(yī)藥信息雜志;2016年08期

4 申明金;曹洪斌;陳麗;;模糊聚類分析在收澀類中藥研究中的應用[J];中醫(yī)藥導報;2016年15期

5 劉廣;;基于Apriori算法的中醫(yī)治療咳嗽關聯(lián)規(guī)則挖掘研究[J];信息系統(tǒng)工程;2016年07期

6 申子龍;趙進喜;王世東;吳文靜;李中洲;岳虹;;基于關聯(lián)規(guī)則算法和復雜系統(tǒng)熵聚類的趙進喜治療糖尿病腎臟病用藥規(guī)律研究[J];中華中醫(yī)藥雜志;2016年07期

7 程仕萍;賈冬梅;周平生;呂誠;呂愛平;譚勇;;基于文本挖掘的中醫(yī)藥治療類風濕關節(jié)炎骨破壞用藥規(guī)律[J];中醫(yī)雜志;2016年11期

8 黃名選;黃發(fā)良;嚴小衛(wèi);蘭慧紅;;基于項權值變化和SCCI框架的加權正負關聯(lián)規(guī)則挖掘[J];控制與決策;2015年10期

9 萬琳;范秋靈;;面向軟件缺陷數(shù)據(jù)的負關聯(lián)規(guī)則挖掘方法[J];微電子學與計算機;2015年04期

10 余如;黃名選;黃麗霞;;基于互信息的教育數(shù)據(jù)矩陣加權正負關聯(lián)模式發(fā)現(xiàn)[J];數(shù)據(jù)采集與處理;2015年01期

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