基于慢性病预测的老年人健康监护软件设计与实现

Elderly health monitoring software based on chronic disease prediction Design and implementation

针对人口老龄化的现状和传统养老机构在老年人健康监护方面的不足,结合物联网和大数据技术设计出适用于老人及子女的健康监护软件,提供日常的数据查询、健康教育、在线咨询、告警通知等功能。同时建立统一的管理平台对健康数据进行分析和处理。针对老年人慢性疾病难以及时发现和治愈的问题,运用BP神经网络对疾病进行预测,根据老年人的生理及健康数据对心脏病、糖尿病等慢性病的患病情况进行分析,做到早发现早治疗,提高老年人的生活质量。

In view of the current situation of population aging and the shortcomings of traditional pension institutions in the health monitoring of the elderly, a health monitoring software for the elderly and their children is designed based on the Internet of Things and big data technology, which provides daily data inquiry, health education, online consultation, alarm notification and other functions. At the same time, a unified management platform is established to analyze and process health data. Aiming at the problem that it is difficult to find and cure the chronic diseases of the elderly in time, the BP neural network is used to predict the diseases. According to the physiological and health data of the elderly, the prevalence of chronic diseases such as heart disease and diabetes mellitus is analyzed, so that early detection and early treatment can be achieved, and the quality of life of the elderly can be improved.