基于数据挖掘技术的老年人自我价值感影响因素分析

Analysis on the Self-Worth of the Elders Based on Data Mining Techniques

中国已经步入老龄化的阶段,且老年人的基数庞大,有关老年人的健康问题,特别是心理健康问题,已成为人们关注的焦点。传统的研究表明,老年人的心理健康很大程度上表现为自我价值感的体现。以此为切入点,将决策树、逻辑斯蒂回归等数据挖掘技术用于挖掘老年人自我价值感的影响因素,结果表明,事实方面、自我认知方面、社会支持方面对老年人的自我价值感有重要的影响,为进一步关注老年人心理健康问题提供帮助。

At present, China has entered an ageing society and huge base of the elderly, the health problems of the elderly, in particular mental health problems, has become the focus of attention. Traditional research suggests that the mental health of older persons for the performance to a large extent a reflection of self- worth. This paper regarding the subject as a starting point, by using data mining technology, concludes that practical issues, selfawareness and social support have an important influence on the self - worth. It will be helpful to concern the health problems of the elderly.