老年人居家养老管理系统的研究及实现
发布时间：2019-04-25 09:15
【摘要】：中国正逐渐步入老龄化社会,采取何种措施来应对人口老龄化带来的各种老年人养老问题就显得尤为重要。老年人养老问题对我国养老事业而言是一个很大的压力,只有切实推进针对老年人的居家养老服务,才是彻底解决我国越来越严重的养老服务难的一种有效途径。为了帮助老年人营造一个幸福、高质量的晚年生活,本文结合软件技术开发了一套居家养老管理系统。本文在论述居家养老设计模式的基础上,结合兰州市城关区老年人的特殊需求,制定了详细合理的居家养老设计原则。该系统的目的就是将家庭、社区、医院及养老院提供的养老信息无缝的集成到一起,从而形成一个完整的养老服务体系。本文为老年人提供一种科学、合理的现代居家养老模式,建立了一个整合医疗服务、健康服务、信息服务、养老服务的管理系统。本文从五个方面诠释了居家养老管理系统的主要服务内容：居家养老基础服务、居家养老呼叫服务、安全养老服务、健康养老服务、健康促进服务。为了给疾病预测功能的开发提供理论依据,本文结合BRFSS数据集,利用Logistic回归分析发现影响高血压的危险因素。设计了基于BP神经网络的高血压预测模型,为老年人疾病防控提供了理论依据。
[Abstract]:China is gradually entering the aging society, what measures to take to deal with the aging of the elderly brought about by the problem is particularly important. The problem of old-age support is a great pressure for the elderly in our country. Only by promoting the home-based service for the elderly is an effective way to solve the more and more serious problems of the old-age service in our country. In order to help the elderly to build a happy, high-quality old-age life, this paper combined with software technology to develop a home-based pension management system. On the basis of discussing the design mode of the old-age at home, and combining with the special needs of the elderly in Chengguan District of Lanzhou City, this paper formulates the detailed and reasonable principles of the design of the old-age at home. The purpose of this system is to integrate the old-age information provided by family, community, hospital and nursing home seamlessly, so as to form a complete old-age service system. In this paper, a scientific and reasonable modern home-based pension model for the elderly is provided, and a management system integrating medical service, health service, information service and old-age service is established. This paper explains the main service contents of home-based pension management system from five aspects: home-based pension basic service, home-based pension call service, safe-aged service, health promotion service. In order to provide a theoretical basis for the development of disease prediction function, Logistic regression analysis was used to find the risk factors of hypertension based on BRFSS data set. The prediction model of hypertension based on BP neural network is designed, which provides a theoretical basis for the prevention and control of diseases in the elderly.
【学位授予单位】：兰州大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：D669.6
[Abstract]:China is gradually entering the aging society, what measures to take to deal with the aging of the elderly brought about by the problem is particularly important. The problem of old-age support is a great pressure for the elderly in our country. Only by promoting the home-based service for the elderly is an effective way to solve the more and more serious problems of the old-age service in our country. In order to help the elderly to build a happy, high-quality old-age life, this paper combined with software technology to develop a home-based pension management system. On the basis of discussing the design mode of the old-age at home, and combining with the special needs of the elderly in Chengguan District of Lanzhou City, this paper formulates the detailed and reasonable principles of the design of the old-age at home. The purpose of this system is to integrate the old-age information provided by family, community, hospital and nursing home seamlessly, so as to form a complete old-age service system. In this paper, a scientific and reasonable modern home-based pension model for the elderly is provided, and a management system integrating medical service, health service, information service and old-age service is established. This paper explains the main service contents of home-based pension management system from five aspects: home-based pension basic service, home-based pension call service, safe-aged service, health promotion service. In order to provide a theoretical basis for the development of disease prediction function, Logistic regression analysis was used to find the risk factors of hypertension based on BRFSS data set. The prediction model of hypertension based on BP neural network is designed, which provides a theoretical basis for the prevention and control of diseases in the elderly.
【学位授予单位】：兰州大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：D669.6
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