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

【摘要】：中醫(yī)藥學(xué),作為中華兒女千百年來通過不斷實(shí)踐、不斷同各類疾病作斗爭(zhēng)的優(yōu)秀民族文化遺產(chǎn),具備獨(dú)特的診療理論體系,同時(shí)在歷史發(fā)展的長(zhǎng)河中也留下了許多傳世的醫(yī)學(xué)典著。目前,我國(guó)初步完成了該領(lǐng)域數(shù)據(jù)的信息化建設(shè)工作,人們可以通過這些中醫(yī)藥學(xué)數(shù)據(jù)共享平臺(tái)檢索自己所需的信息,但中醫(yī)藥學(xué)極具多樣性和復(fù)雜性,且僅僅對(duì)著龐大的數(shù)據(jù)集進(jìn)行檢索勢(shì)必不能很好地發(fā)揮其價(jià)值,需要通過結(jié)合現(xiàn)代數(shù)據(jù)分析手段去探索其中的奧秘。中藥復(fù)方規(guī)律研究作為中醫(yī)藥學(xué)現(xiàn)代化的重要組成部分,不但豐富和發(fā)展了復(fù)方學(xué)理論,同時(shí)為復(fù)方臨床應(yīng)用和新藥研發(fā)提供客觀依據(jù)。本課題就中醫(yī)藥領(lǐng)域的配方規(guī)律展開研究,并設(shè)計(jì)了一個(gè)中醫(yī)藥學(xué)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?jī)?nèi)容如下:(1)介紹了中醫(yī)藥學(xué)相關(guān)數(shù)據(jù)的特點(diǎn)并分析了其中存在的數(shù)據(jù)規(guī)范化問題,對(duì)中藥藥物數(shù)據(jù)和復(fù)方數(shù)據(jù)的具體預(yù)處理手段進(jìn)行詳細(xì)的說明。(2)提出一種復(fù)方關(guān)聯(lián)規(guī)則分析方法。針對(duì)傳統(tǒng)關(guān)聯(lián)規(guī)則挖掘算法中存在的不足,提出挖掘正負(fù)關(guān)聯(lián)規(guī)則的方法,并針對(duì)于引入負(fù)事務(wù)項(xiàng)后存在的一些問題比如爆炸式頻繁項(xiàng)集增長(zhǎng)問題和算法的挖掘效率問題提出相應(yīng)的解決方案。(3)提出一種新的復(fù)方網(wǎng)絡(luò)化分析方法。對(duì)傳統(tǒng)的中醫(yī)藥學(xué)復(fù)方數(shù)據(jù)進(jìn)行網(wǎng)絡(luò)化建模,然后對(duì)復(fù)方網(wǎng)絡(luò)特性進(jìn)行分析并以此為基礎(chǔ)利用社團(tuán)發(fā)現(xiàn)方法進(jìn)行進(jìn)一步的挖掘。(4)設(shè)計(jì)并實(shí)現(xiàn)了中醫(yī)藥學(xué)數(shù)據(jù)挖掘系統(tǒng),該系統(tǒng)集成了數(shù)據(jù)預(yù)處理、復(fù)方關(guān)聯(lián)規(guī)則分析、復(fù)方網(wǎng)絡(luò)化分析等相關(guān)技術(shù),為相關(guān)使用人員通過方便、簡(jiǎn)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(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R2-03;TP311.13

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