摘要
针对社会养老问题,提出一个低成本、可扩展性强、数据驱动的智慧养老系统。该系统利用射频识别技术采集老年人在养老院中的位置信息,使用位置数据结合机器学习算法建立老年人健康状况预测模型。通过与系统配套的手机应用软件,老人的家属可以及时了解老人在养老院中的健康状况。实验结果表明,所建立的模型预测结果准确率均在80%以上。该系统可以有效地对养老院中老年人的健康情况进行分析与判断,使得其得到更加精准的照护服务。
We present a low-cost,adaptable and data-driven intelligent elderly healthcare system to deal with the challenge of rapidly increasing aged population in China. The system used radio frequency identification（ RFID）technology to monitor and record the location information of the elderly in nursing home. The location data,together with machine learning algorithms,was used to construct models to evaluate health conditions of the elderly. Family members of the elderly could know the health conditions of the elderly in time by using the application software on mobile devices.The results show that the prediction accuracies of the established models are over 80%. Therefore,this system can effectively analyze and evaluate the health conditions of the elderly in nursing home. It can provide precise healthcare services to the elderly.
作者
魏雨枫
路敏
李彩虹
邬渊
Wei Yufeng;Lu Min;Li Caihong;Wu Yuan(The Third People Hospital of Lanzhou,Lanzhou 730000, Gansu , China;School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, Gansu, China)
出处
《计算机应用与软件》
北大核心
2018年第6期330-333,共4页
Computer Applications and Software
关键词
射频识别
反向传播神经网络
支持向量机
智慧养老系统
RFID Back
propagation neural network
Support vector machine
Intelligent elderly heahhcare system
