基于数据挖掘的在线医疗诊断系统

随着生活水平的不断提高以及生活环境的不断变化，人们对医疗的重视也逐步增加，对自身健康也更加关注。文章介绍了多种数据挖掘的方法，并采用了一种通过分析数据不一致化率的分类方法实现对确诊数据的高效分类。最后，将该方法应用于糖尿病患者的确诊数据挖掘，从而通过实例证明了该分类方法在医疗领域有一定的有效性。

On - Line Medical Diagnosis System Based on Data Mining

With the changing living standards and the continuous improvement of living environment, people focus on health have gradually increased, and more attention to their own health. This article describes several methods of data mining, and is achieved by using a method of analyzing the data are inconsistent classification rate of diagnosed efficient data classification. Finally, this method is applied diagnosed with diabetes data mining, which is proved by the examples herein classification in the medical field have a certain validity.