基于粗糙集理论的数据挖掘技术在脑梗塞疾病研究中的应用  

THE APPLICATION OF THE DATA MINING TECHNOLOGY IN THE RESEARCH OF THE CEREBRAL INFARCTION DISEASE

作　　者：徐德生[1] 李弘[1] 李长青[1] 田文生[2] 

机构地区：[1]内蒙古工业大学管理学院,呼和浩特010051 [2]呼和浩特市第一医院

出　　处：《现代预防医学》2009年第21期4001-4002,4005,共3页Modern Preventive Medicine

基　　金：内蒙古自治区高等学校科学研究项目(重大项目)(NJ02019);国家自然科学基金资助项目(70640008)

摘　　要：[目的]研究引起脑梗塞疾病的各种相关因素,分析造成该疾病主要原因,提出预防该疾病的有效手段。[方法]以关联规则和粗糙集理论为脑梗塞疾病数据挖掘的主要技术手段,提出了基于粗糙集理论的脑梗塞疾病关联规则知识获取方法。[结果]糖尿病、高血压、血红蛋白量高等是导致脑梗塞的重要因素。[结论]提出脑梗塞预防建议:a.戒烟;b.预防和控制糖尿病;c.控制血压;d.控制血红蛋白含量,防止血液粘稠。[Objective ] To study all kinds of the factors concerning with the cerebral infarction, meanwhile, to analyze the main reasons resulted in this disease and to propose effective means for prevention of the disease. [ Methods] The association rules and the theory, of the rough set were taken as the main technical means for the data mining of the cerebral infarction. The method for acquiring knowledge of the association rules of the cerebral infarction based on the theory of rough set was proposed. [ Results] Diabetes, hypertension , hyperhemoglobinemia, etc. were the main factors resulted in cerebral infarction. [Conclusion] The suggestions for preventing cerebral infarction are proposed as follows： A. Smoking cessation; B. Prevent and control the diabetes. C. Control the hypertension. D. Control the content of hemoglobin to prevent the thickness of the blood.

关 键 词：粗糙集 数据挖掘 脑梗塞 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]