数据挖掘在老龄人口健康调查中的应用

The Application of Data Mining in the Survey of Aged People

研究高龄老人的问题,对实现健康老龄化具有重要的意义,也会填补关于高龄老人信息的空白。在入户调查数据的基础上,用聚类分析、神经网络、决策树、逻辑斯蒂回归等数据挖掘技术,对老人的思维状况、日常活动能力和户外活动等基本方面进行数据建模分析。针对影响老龄人思维能力和身体健康的主要因素,应加快老年人服务机制和福利设施建设,创造老年人就业机会,开展老年人再教育。

The problem of aging has been becoming one important topic in each country and it will naturally be severe because of more and more aged people. Hence, any research upon old people plays an important part in achieving healthy aging, plus filling the gap of information about the elders. This article, based upon survey data, will use common teehniques of data mining, sueh as clustering and neural network, logistics to model and analyze several facets, including thinking status, the ability of ordinary activities and others. After that, some conclusions and suggestions will be gotten, with the hope to give some helps to practitioners.