基于Weka数据挖掘的慢性乙肝症状与实验室指标相关性研究

The Correlation Research of the Chronic Hepatitis B Symptoms and Laboratory Indexes based on Weka Data Mining

运用关联规则数据挖掘技术,利用Weka数据挖掘平台,对767例慢性乙肝患者的数据进行挖掘分析,再通过课题组编写的过滤分解程序,过滤分解得到864条慢性乙肝症状和实验室指标的关联规则。研究结果表明,基于Weka的关联规则数据挖掘技术,挖掘出的诸如鼻头色微黄明润、舌苔白与舌淡红等和实验室指标关联性很强的慢性乙肝症状,可以为医生临床诊断决策提供新的思路和参考。

Our research group filter and decompose to get 864 chronic hepatitis B symptoms and laboratory indexes of association rules by using association rules data mining techniques and Weka data mining platform,and data mining analysis of the 767 cases of chronic hepatitis B patients,and through our team writing filter decomposition program.The results show that it can provide new ideas and reference for the decision of doctors clinical diagnosis by the data mining to get such the yellowish-bright moist nose,white fur and pink tongue as symptoms of chronic hepatitis B strong associated with laboratory indexes based on the association rules of Weka data mining techniques.