本文關(guān)鍵詞： 高血壓 模糊理論 β分布 遺傳算法　出處：《太原理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：高血壓是中老年人群中非常普遍的慢性病，也是引起心腦血管病等并發(fā)癥最主要的危險(xiǎn)因素，其引起的心力衰竭、腦卒中及慢性腎臟病等疾病，不僅有較高的致殘乃至致死率，而且嚴(yán)重消耗了我國比較短缺的醫(yī)療資源，給患者家庭和社會(huì)造成沉重負(fù)擔(dān)。病人的收縮壓大于115mmHg或者舒張壓大于75mmHg以后，血壓與其患心、腦血管并發(fā)癥存在一定關(guān)系：當(dāng)舒張壓每升高10mmHg或者收縮壓每升高20mmHg時(shí)，病人患并發(fā)癥的風(fēng)險(xiǎn)就會(huì)加倍[1]。因心血管疾病而死亡的患者中過半數(shù)是由高血壓引起。 2013年世界衛(wèi)生日主題“控制血壓，減少心臟病和卒中的風(fēng)險(xiǎn)”，可見高血壓已成為人類普遍關(guān)注的健康問題。高血壓是一種常見的威脅人類健康的慢性疾病，位居引起死亡的十大危險(xiǎn)因素之首，因此，有效控制血壓對(duì)于提高人類的健康水平有重大現(xiàn)實(shí)意義。有效控制血壓是預(yù)防心腦血管病、腦卒中和冠心病的重要因素，但高血壓病人的知曉率、控制率和治療率卻一直很低，這給高血壓的有效治療造成了很大困難。本文試圖從提高高血壓患者的控制率入手，通過研究發(fā)現(xiàn)持續(xù)用藥與血壓的關(guān)系，為輔助醫(yī)生開藥、病人持續(xù)用藥提供指導(dǎo)，增強(qiáng)病人的可持續(xù)用藥程度，從而提高高血壓患者的控制率，進(jìn)而提高高血壓患者的治療率，提高病人的生活水平。 針對(duì)高血壓患者控制率低的問題，本文提出了基于模糊理論的高血壓藥物療效預(yù)測(cè)研究，通過用藥療效的預(yù)測(cè)提高病人的可持續(xù)用藥程度。文中首先對(duì)模糊數(shù)學(xué)的相關(guān)理論進(jìn)行介紹，通過對(duì)相關(guān)的文獻(xiàn)進(jìn)行研究，對(duì)高血壓的分類水平進(jìn)行總結(jié)，將高血壓分為3個(gè)等級(jí)，分別描述為一級(jí)高血壓，二級(jí)高血壓和三級(jí)高血壓。等級(jí)概念帶有某種程度的模糊性，因此，通過模糊數(shù)學(xué)的相關(guān)知識(shí)，文中將病人的血壓數(shù)據(jù)分別進(jìn)行模糊化到相應(yīng)的規(guī)則區(qū)間。然后，對(duì)醫(yī)院提供的高血壓數(shù)據(jù)進(jìn)行整體分析，建立用于預(yù)測(cè)分析的β分布模型，并運(yùn)用遺傳算法對(duì)建立的β分布模型進(jìn)行優(yōu)化。最后，通過誤差分析，并與相應(yīng)的線性分布模型進(jìn)行對(duì)比，，實(shí)驗(yàn)結(jié)果表明該模型的預(yù)測(cè)準(zhǔn)確率高于線性分布模型，能很好地進(jìn)行藥物療效的預(yù)測(cè)。 本文提出的高血壓用藥療效預(yù)測(cè)模型，旨在輔助醫(yī)生開藥及增強(qiáng)病人的可持續(xù)用藥程度，是運(yùn)用計(jì)算機(jī)技術(shù)對(duì)高血壓治療工作的一次探索，希望為后續(xù)的相關(guān)研究提供有益借鑒。
[Abstract]:Hypertension is a very common chronic disease in the middle-aged and elderly population, and it is also the most important risk factor for complications such as cardiovascular and cerebrovascular diseases. The causes of heart failure, stroke, chronic kidney disease and other diseases not only have high disability and even fatality rate. Moreover, the shortage of medical resources in our country has been seriously consumed, which has caused a heavy burden on the patients' families and society. After the patients' systolic blood pressure is greater than 115 mmHg or the diastolic blood pressure is greater than 75 mmHg, the blood pressure and their hearts are affected. There is a certain relationship between cerebrovascular complications: when diastolic blood pressure increases by 10mmHg or systolic blood pressure increases by 20mmHg, the risk of complications is doubled [1]. More than half of patients who die from cardiovascular disease are caused by hypertension. The theme of World Health Day 2013, "controlling blood pressure and reducing the risk of heart disease and stroke," shows that high blood pressure has become a common health concern. High blood pressure is a common chronic disease that threatens human health. As one of the top ten risk factors for death, effective blood pressure control is of great practical significance in improving human health. Effective blood pressure control is an important factor in the prevention of cardiovascular and cerebrovascular diseases, stroke and coronary heart disease. However, the awareness rate, control rate and treatment rate of hypertension patients have been very low, which has caused great difficulties to the effective treatment of hypertension. The relationship between continuous medication and blood pressure is found, which can provide guidance for assistant doctors to prescribe drugs and patients with sustained use of drugs, enhance the degree of sustainable use of drugs, thus improve the control rate of patients with hypertension, and then improve the rate of treatment of patients with hypertension. Improve the living standards of the patients. In view of the problem of low control rate in patients with hypertension, a study on predicting the curative effect of hypertension drugs based on fuzzy theory is presented in this paper. In this paper, the relevant theories of fuzzy mathematics are introduced, and the classification level of hypertension is summarized through the study of relevant literature. Hypertension is divided into three grades, which are described as primary hypertension, secondary hypertension and tertiary hypertension respectively. The concept of grade has a certain degree of fuzziness, therefore, through the relevant knowledge of fuzzy mathematics, In this paper, the patient's blood pressure data are fuzzied to the corresponding regular intervals respectively. Then, the blood pressure data provided by the hospital are analyzed as a whole, and the 尾 distribution model used to predict the blood pressure data is established. Finally, through error analysis and comparison with the corresponding linear distribution model, the experimental results show that the prediction accuracy of the model is higher than that of the linear distribution model. It can predict the curative effect of drug well. The model proposed in this paper aims to assist doctors in prescribing drugs and to enhance the degree of sustainable use of drugs in patients. It is an exploration of the use of computer technology in the treatment of hypertension. Hope to provide useful reference for the follow-up related research.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：R544.1

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