本文選題：冠心病　切入點(diǎn)：早期預(yù)警系統(tǒng)　出處：《河北大學(xué)》2017年碩士論文

【摘要】：隨著經(jīng)濟(jì)社會(huì)的快速發(fā)展,在生活水平提高的同時(shí)生活節(jié)奏也大大加快,診療技術(shù)的發(fā)展卻相對(duì)滯后,冠心病是目前威脅人類健康的主要疾病之一。但是往往由于人們工作的繁忙、醫(yī)療費(fèi)用的昂貴、醫(yī)生的缺少,使得很多人無(wú)法及時(shí)發(fā)現(xiàn)病情,貽誤了最佳治療時(shí)機(jī)。本論文是從具有多年臨床經(jīng)驗(yàn)的心內(nèi)科醫(yī)生所提供的、日常生活中能夠容易獲得的個(gè)人生理屬性的大量數(shù)據(jù)中,運(yùn)用數(shù)據(jù)挖掘技術(shù)得到生理屬性的各參數(shù)間潛在的、有價(jià)值的規(guī)則,并且把這些規(guī)則應(yīng)用到冠心病早期預(yù)警系統(tǒng)之中。該系統(tǒng)對(duì)于冠心病的早期預(yù)防和診治具有重要意義。論文主要研究?jī)?nèi)容如下:1.從某三甲醫(yī)院收集了大量冠心病患者病歷和某高校學(xué)生家庭成員健康問(wèn)卷調(diào)查表得到的健康人群的數(shù)據(jù),并進(jìn)行了數(shù)據(jù)整理,作為算法訓(xùn)練的樣本。2.給出了一個(gè)基于BP神經(jīng)網(wǎng)絡(luò)的冠心病判別算法,目標(biāo)就是通過(guò)測(cè)試者的各項(xiàng)屬性值來(lái)判斷其是否可能患有冠心病。首先,通過(guò)樣本進(jìn)行訓(xùn)練,設(shè)計(jì)網(wǎng)絡(luò)模型結(jié)構(gòu),得到一個(gè)相對(duì)較好的神經(jīng)網(wǎng)絡(luò)模型。其次,根據(jù)生成的模型,計(jì)算出測(cè)試者是否有可能患有冠心病。3.使用樸素貝葉斯分析方法來(lái)預(yù)測(cè)患有冠心病的概率。分為兩個(gè)步驟:第一步,計(jì)算各項(xiàng)屬性不同取值的先驗(yàn)概率;第二步,根據(jù)測(cè)試者的輸入信息,計(jì)算出患病概率。4.設(shè)計(jì)實(shí)現(xiàn)了冠心病預(yù)警原型系統(tǒng)。主要由兩部分組成,第一部分是人機(jī)接口部分,用于輸入預(yù)警系統(tǒng)所需要的個(gè)人身體狀況的基礎(chǔ)信息,并進(jìn)行數(shù)據(jù)的完整性判斷。第二部分是系統(tǒng)對(duì)冠心病的預(yù)測(cè)部分,根據(jù)輸入的基本信息預(yù)測(cè)出冠心病的患病情況及健康建議。5.通過(guò)算法實(shí)驗(yàn)和軟件系統(tǒng)測(cè)試,驗(yàn)證了原型系統(tǒng)的有效性。使用本系統(tǒng),可以隨時(shí)根據(jù)自身情況來(lái)評(píng)估患病的風(fēng)險(xiǎn),可以讓測(cè)試者保持警惕,積極調(diào)解自身狀態(tài),還可以為醫(yī)療機(jī)構(gòu)的診斷提供有價(jià)值的參考。
[Abstract]:With the rapid development of economy and society, the pace of life has been greatly accelerated while the standard of living has been improved, while the development of diagnosis and treatment technology has lagged behind. Coronary heart disease (CHD) is one of the main diseases threatening human health at present. However, due to the busy work of people, the high cost of medical treatment and the lack of doctors, many people are unable to detect the disease in time. This paper is based on a wealth of data from cardiologists with many years of clinical experience who can easily obtain personal physiological properties in their daily lives. Using data mining technology to get potential and valuable rules between the parameters of physiological attributes, These rules are applied to the early warning system of coronary heart disease. This system is of great significance for the early prevention and treatment of coronary heart disease. The main contents of this paper are as follows: 1. A large number of coronary heart disease has been collected from a third class hospital. Patients' medical records and the data of healthy people obtained from a questionnaire on the health of family members of a college student, As a training sample of algorithm. 2. A BP neural network based coronary heart disease discrimination algorithm is presented. The goal is to determine whether the person is likely to have coronary heart disease through each attribute value of the tester. First of all, Through the training of samples, the network model structure is designed, and a relatively good neural network model is obtained. Secondly, according to the generated model, Use naive Bayesian analysis to predict the probability of coronary heart disease. There are two steps: the first step is to calculate the priori probability of different values of each attribute; the second step is to predict the probability of coronary heart disease. According to the input information of the tester, the probability of disease is calculated. 4. The prototype system of coronary heart disease warning is designed and implemented. The system is composed of two parts, the first part is the man-machine interface. It is used to input the basic information of the individual's physical condition needed by the early warning system and to judge the integrity of the data. The second part is the system's prediction of coronary heart disease. Based on the input of basic information to predict the prevalence of coronary heart disease and health advice .5.Through algorithm experiments and software system tests, the effectiveness of the prototype system is verified. Using this system, the risk of the disease can be assessed at any time according to their own conditions. It can keep the testers alert, actively mediate their own status, and can provide valuable reference for the diagnosis of medical institutions.
【學(xué)位授予單位】：河北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R541.4;TP311.13

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