基于模糊理论的高血压药物疗效预测研究

发布时间：2018-02-22 05:26

本文关键词： 高血压模糊理论 β分布遗传算法　出处：《太原理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：高血压是中老年人群中非常普遍的慢性病，也是引起心脑血管病等并发症最主要的危险因素，其引起的心力衰竭、脑卒中及慢性肾脏病等疾病，不仅有较高的致残乃至致死率，而且严重消耗了我国比较短缺的医疗资源，给患者家庭和社会造成沉重负担。病人的收缩压大于115mmHg或者舒张压大于75mmHg以后，血压与其患心、脑血管并发症存在一定关系：当舒张压每升高10mmHg或者收缩压每升高20mmHg时，病人患并发症的风险就会加倍[1]。因心血管疾病而死亡的患者中过半数是由高血压引起。 2013年世界卫生日主题“控制血压，减少心脏病和卒中的风险”，可见高血压已成为人类普遍关注的健康问题。高血压是一种常见的威胁人类健康的慢性疾病，位居引起死亡的十大危险因素之首，因此，有效控制血压对于提高人类的健康水平有重大现实意义。有效控制血压是预防心脑血管病、脑卒中和冠心病的重要因素，但高血压病人的知晓率、控制率和治疗率却一直很低，这给高血压的有效治疗造成了很大困难。本文试图从提高高血压患者的控制率入手，通过研究发现持续用药与血压的关系，为辅助医生开药、病人持续用药提供指导，增强病人的可持续用药程度，从而提高高血压患者的控制率，进而提高高血压患者的治疗率，提高病人的生活水平。针对高血压患者控制率低的问题，本文提出了基于模糊理论的高血压药物疗效预测研究，通过用药疗效的预测提高病人的可持续用药程度。文中首先对模糊数学的相关理论进行介绍，通过对相关的文献进行研究，对高血压的分类水平进行总结，将高血压分为3个等级，分别描述为一级高血压，二级高血压和三级高血压。等级概念带有某种程度的模糊性，因此，通过模糊数学的相关知识，文中将病人的血压数据分别进行模糊化到相应的规则区间。然后，对医院提供的高血压数据进行整体分析，建立用于预测分析的β分布模型，并运用遗传算法对建立的β分布模型进行优化。最后，通过误差分析，并与相应的线性分布模型进行对比，，实验结果表明该模型的预测准确率高于线性分布模型，能很好地进行药物疗效的预测。本文提出的高血压用药疗效预测模型，旨在辅助医生开药及增强病人的可持续用药程度，是运用计算机技术对高血压治疗工作的一次探索，希望为后续的相关研究提供有益借鉴。
[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.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：R544.1

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