冠心病心脏功能超声数据模型的初步研究

发布时间：2018-07-20 15:06

【摘要】：目的:利用超声心动图测量获取冠心病心脏功能基础数据及影响功能的相关参数，通过数据挖掘技术，得出影响冠心病心脏功能的关键因素及特征性指标，揭示冠心病心脏功能的特征及变化规律或趋势。方法:选择2013年7月至2014年2月在我院经冠状动脉造影确诊冠心病人221例，采用高档彩色多普勒超声诊断仪通过二维超声心动图获取冠心病人心功能指相关指标，并通过医院信息系统(Hospital Information System，HIS)查询患者的临床基本信息，以此为数据源建立数据库，以SQL Server2008作为数据库管理工具，利用SQL Server2008DMAddin以及office2007作为数据挖掘的工具，对冠心病患者的临床基本信息及心脏功能的常规测量指标进行挖掘，挖掘出影响因素与心脏功能改变的潜在的、有价值的关联信息，，了解各指标之间的演变趋势，客观的分析心脏功能的动态变化。结果:在大量的超声基础数据中通过数据挖掘技术构建出冠心病人心脏功能数据模型，得出影响冠心病人心脏功能改变的主要影响因素及特征性指标，从而揭示出冠心病人心脏功能演变规律并得出其演变的趋势图。结论:冠心病心脏功能的改变是在各种影响因素的综合作用下发生和发展的。通过数据挖掘技术，可以得出不同影响因素的相对影响值大小，特征性指标的相对影响值大小。高血压、低密度脂蛋白、血糖、吸烟是影响冠心病心脏功能改变的关键影响因素。射血分数、每搏输出量、心输出量是冠心病病人心脏功能异常的特征性指标。左室收缩功能计算器报表和演变的动态趋势图可以帮助临床综合判断冠心病病人心脏功能是否改变。
[Abstract]:Objective: to obtain the basic data of coronary heart function and its related parameters by using echocardiography, and to obtain the key factors and characteristic indexes of heart function of coronary heart disease by data mining technology. To reveal the characteristics and changes of heart function in coronary heart disease. Methods: 221 patients with coronary heart disease diagnosed by coronary angiography from July 2013 to February 2014 were selected. The indexes of cardiac function of coronary heart disease patients were obtained by using high grade color Doppler echocardiography. The basic clinical information of patients was queried by Hospital Information system (his), and the database was set up as data source. SQL Server 2008 was used as database management tool, SQL Server 2008 DMAddin and office2007 were used as data mining tools. The basic clinical information of patients with coronary heart disease (CHD) and the routine measurement indexes of cardiac function were excavated to find out the potential and valuable correlation information between the influencing factors and the changes of cardiac function, and to understand the evolution trend of each index. Objective analysis of the dynamic changes of heart function. Results: the cardiac function data model of patients with coronary heart disease was constructed through data mining in a large amount of basic ultrasound data. The main influencing factors and characteristic indexes of heart function changes in patients with coronary heart disease were obtained. Thus, the evolution law of heart function in patients with coronary heart disease was revealed and the trend map of heart function evolution was obtained. Conclusion: the changes of cardiac function in coronary heart disease occur and develop under the combined action of various factors. Through data mining technology, the relative influence value of different influencing factors and the relative influence value of characteristic index can be obtained. Hypertension, low density lipoprotein (LDL), blood glucose, and smoking are key factors affecting cardiac function in coronary heart disease (CHD). Ejection fraction, stroke output and cardiac output are characteristic indexes of cardiac dysfunction in patients with coronary heart disease. The report of left ventricular systolic function calculator and the evolving dynamic trend chart can help to judge whether the heart function changes or not in patients with coronary heart disease.
【学位授予单位】：皖南医学院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R541.4;R540.45

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