摘要
随着医保领域业务的日益复杂化,对于医疗信息系统的建设提出了更高的要求。本文通过数据挖掘中聚类分析方法在医保系统中的应用研究,从海量的医保系统中提取出有用的信息,指导医疗系统中各个子系统的优化建设,同时分析出有价值的预测数据,推动医保业务的健康发展。
Along with the medical field service becomes more and more complicated, It has put forward higher requirements for the construction of medical information system. In this paper, will discuss the clustering analysis of data mining applied in the health care system, to extract useful information from the medical insurance system in the vast, optimizing the construction of sub system to guide the medical system, and analysis of the forecast data value, promote the healthy development of the insurance business.
关键词
数据挖掘
聚类分析
医保系统
预测
data mining
clustering analysis
health care system
forecast
