摘要
数据预处理技术在数据挖掘和数据仓库中都具有十分重要的作用,其结果将直接影响数据挖掘的优劣。为了更好地从数据类型复杂、冗余空缺值多的海量医疗数据中挖掘切实有用的信息,必须对数据源进行预处理。基于此目的,本文详细介绍了医疗数据的预处理方法,并通过某高校病历数据实例验证其有效性和可行性,为医疗机构提供科学的决策支持。
Data preprocessing technology plays a very important role both in data mining and data warehouse. Its results will directly influence the ends of data mining. In order to get the practical useful information better from the mass medical data, which with complex data types and many redundancies and loss values, it＇ s necessary to preprocess the data resources. Therefore, a method of medical data preprocessing is introduced detailedly in this paper, and a real world example about some university case history data shows it effective and feasible, and providing scientific decision support for medical institutions.
出处
《计算机与现代化》
2007年第5期23-24,28,共3页
Computer and Modernization
关键词
数据预处理
数据挖掘
医疗数据
关联规则
data preprocessing
data mining
medical data
association rules
