摘要
用数据挖掘的方法来研究目前与日俱增的医保数据在我国目前还不是很多,但已具备一定的研究成果。该文对数据挖掘在我国医保领域的应用进行了总结概述,从关联规则发现、数据聚类、分类知识发现、序列模式发现以及其他数据挖掘方法在医保中的应用几方面进行综述,最后对数据挖掘在医保领域的应用做了展望。
Using data mining method to study the data of growing health care in our country is not a lot, but has a certain research. In this paper, the application of data mining in the field of health care are summarized from the association rules discovery, data clustering, classification knowledge discovery, sequential pattern discovery, and other data mining methods are reviewed in the Medicare application areas. Finally, look into the future of application of data mining in health care field.
出处
《电脑知识与技术（过刊）》
2014年第2X期880-882,901,共4页
Computer Knowledge and Technology
关键词
数据挖掘
医保
关联规则
聚类
分类
序列模式
data mining
Health care
Association rule
clustering
classification
sequence pattern
