【摘要】 将数据挖掘技术应用到糖尿病的诊断之中,运用线性回归算法,对糖尿病患者体检的历史记录进行数据处理,分析糖化血红蛋白和甘油三酯与糖尿病之间的关系,以发现其中的医学诊断规则和模式,辅助医生进行疾病的诊断.根据数据挖掘的结果分析糖尿病患者的数据,得出结论:糖化血红蛋白和甘油三酯在人体内的含量越高,患糖尿病的概率就越大.更多还原

【Abstract】 Data mining techniques are applied to the diagnosis of diabetes,using linear regression algorithm of data processing medical history of diabetes,to analyze glycated hemoglobin and the relationship between triglyceride and diabetes.To discover rules and patterns of medical diagnosis can assist doctors to diagnose disease.According to the data mining analysis of diabetes data,it is concluded that glycated hemoglobin and triglyceride levels in the human body the higher the greater the chances of diabetes.更多还原