本文選題：CBR技術(shù) + 中醫(yī)診療系統(tǒng)　； 參考：《中國(guó)科學(xué)院大學(xué)(中國(guó)科學(xué)院工程管理與信息技術(shù)學(xué)院)》2017年碩士論文

【摘要】：論文立足于“基于古代文獻(xiàn)挖掘的新發(fā)突發(fā)傳染病中醫(yī)診療輔助方法”這個(gè)項(xiàng)目,以診斷和治療方法的確定為切入點(diǎn),借助古疫病文獻(xiàn)開(kāi)展的對(duì)于新發(fā)突發(fā)發(fā)熱中醫(yī)診療輔助方法的研究。目的是為了把人工智能(Artificial Intelligence,AI)技術(shù)中的基于案例推理(Case-based reasoning,CBR)技術(shù)和中醫(yī)學(xué)知識(shí)進(jìn)行相結(jié)合,設(shè)計(jì)和開(kāi)發(fā)出靈活、有效、實(shí)用且操作性強(qiáng)的“基于CBR技術(shù)的中醫(yī)診療系統(tǒng)”為新發(fā)突發(fā)傳染病中醫(yī)診療方案的制定提供決策支持。本文完成的主要工作如下:(1)研究了案例推理技術(shù)的理論知識(shí)。比較深入地探究了CBR技術(shù)的基本機(jī)理、進(jìn)行推理的生命周期、CBR技術(shù)的應(yīng)用和成長(zhǎng)等。然后對(duì)CBR技術(shù)進(jìn)行推理的整個(gè)過(guò)程中所涉及到的幾個(gè)步驟進(jìn)行了詳細(xì)介紹,包括對(duì)案例的表示、案例檢索(Retrieve)、案例重用(Reuse)、案例修正(Revise)與案例保存(Retain)。(2)在Huang、Ahmad等人的研究基礎(chǔ)上,提出了計(jì)算混合類型數(shù)據(jù)之間相似性的度量方法。案例檢索是整個(gè)推理過(guò)程中的核心,案例檢索的效率會(huì)對(duì)用戶的體驗(yàn)產(chǎn)生直接的影響。為了驗(yàn)證所提方法的有效性,選用了醫(yī)療領(lǐng)域關(guān)于乳腺癌和糖尿病診斷以及銀行領(lǐng)域關(guān)于用戶信用判斷的數(shù)據(jù)集進(jìn)行了相應(yīng)的實(shí)驗(yàn)。并對(duì)實(shí)驗(yàn)結(jié)果進(jìn)行了對(duì)比和分析,證實(shí)了提出的相似度測(cè)量方法的有效與可行。(3)把所提的混合相似度測(cè)量方法應(yīng)用于基于CBR技術(shù)的中醫(yī)診療系統(tǒng)中。在收集到的中醫(yī)學(xué)治療新發(fā)突發(fā)傳染病的數(shù)據(jù)基礎(chǔ)上,采用CBR技術(shù),對(duì)要開(kāi)發(fā)的中醫(yī)診療系統(tǒng)的各個(gè)模塊進(jìn)行了設(shè)計(jì),選用java語(yǔ)言完成了整個(gè)系統(tǒng)的開(kāi)發(fā)。并對(duì)系統(tǒng)中的主要功能模塊進(jìn)行了展示�；贑BR技術(shù)的中醫(yī)診療系統(tǒng)的研發(fā),不單單可以使后人利用歷代中醫(yī)學(xué)家積累的治病經(jīng)歷和智慧來(lái)輔助中醫(yī)治療師進(jìn)行決策,從而提高臨床診療效果,減少誤診事件的發(fā)生;而且還可以對(duì)那些古人積累的中醫(yī)學(xué)知識(shí)進(jìn)行很好的保存,便于一些教育機(jī)構(gòu)用于教學(xué)使用,實(shí)現(xiàn)中醫(yī)學(xué)知識(shí)的共享和傳承,更好的服務(wù)于人類。
[Abstract]:This paper is based on the project of "the assistant method of TCM diagnosis and treatment of emerging infectious diseases based on the ancient literature mining", which starts with the determination of diagnosis and treatment methods. The study on the assistant method of diagnosis and treatment of new sudden fever in TCM with the aid of ancient blight literature. The purpose of this paper is to combine Case-based reasoning (CBR) technology with traditional Chinese medicine (TCM) knowledge in Artificial Intelligence AI (AI) technology, and to design and develop flexible and effective Case-based reasoning (CBR) technology. The practical and operable Chinese medicine diagnosis and treatment system based on CBR technology provides decision support for the formulation of new infectious disease diagnosis and treatment scheme. The main work of this paper is as follows: (1) the theoretical knowledge of Case-Based reasoning (CBR) is studied. The basic mechanism of CBR technology and the application and growth of CBR technology are discussed. Then, several steps involved in the whole process of reasoning are introduced in detail, including case representation, case retrieval, case reuse, case revision and case). (2. A method to measure the similarity between mixed type data is proposed. Case retrieval is the core of the whole reasoning process, and the efficiency of case retrieval will have a direct impact on the user's experience. In order to verify the effectiveness of the proposed method, the data sets of breast cancer and diabetes diagnosis in the medical field and user credit judgment in the banking field were selected for corresponding experiments. The comparison and analysis of the experimental results show that the proposed similarity measurement method is effective and feasible. (3) the proposed hybrid similarity measurement method is applied to the traditional Chinese medicine diagnosis and treatment system based on CBR technology. On the basis of the collected data on the treatment of emerging infectious diseases in traditional Chinese medicine (TCM), the various modules of the TCM diagnosis and treatment system to be developed were designed by using CBR technology, and the whole system was developed with java language. The main function modules of the system are also shown. The research and development of TCM diagnosis and treatment system based on CBR technology can not only make future generations make use of the experience and wisdom accumulated by TCM scientists to assist TCM therapists to make decisions, so as to improve the effect of clinical diagnosis and treatment and reduce the occurrence of misdiagnosis. It can also preserve the knowledge of traditional Chinese medicine accumulated by the ancients, which is convenient for some educational institutions to use in teaching, to realize the sharing and transmission of traditional Chinese medicine knowledge, and to better serve human beings.
【學(xué)位授予單位】：中國(guó)科學(xué)院大學(xué)(中國(guó)科學(xué)院工程管理與信息技術(shù)學(xué)院)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R24;TP18

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本文編號(hào)：2096513