计算机工程与应用Issue(17):236-240,5.DOI:10.3778/j.issn.1002-8331.1311-0313
一种敬老院老龄人的健康状态预测方法
Forecasting method of health status for the elderly in gerocomium
摘要
Abstract
Aiming at lack of prediction of the health status currently in the monitoring system for the old people’s activi-ties in gerocomium by low cost, by using of the data of the old people’s activities from the three-tier monitoring tracking system based on semi-active RFID which has been implemented, this article analyzes statistically and gets hold of the aver-age number of activities which marks on health status. According to the natural relations between the number of activities and healthy status, a model of the health index and the BP neural network of three layer 8-9-1 type are designed to fore-cast the health index of the elderly after it has been training with the processing data. Experimental results show that the model calculation and prediction results can basically agree with the doctor’s diagnosis, false positives and non-response rates are low. The model provides a low-cost decision support for the nursing and the prediction of elderly health status, and extends effectively the RFID application for perception.关键词
预测/健康指数/老龄人/反向传播(BP)神经网络/半有源射频识别(RFID)Key words
forecast/health index/elderly people/Back Propagation(BP)neural network/semi-active Radio Frequency Identification(RFID)分类
信息技术与安全科学引用本文复制引用
李章兵,钟小勇,朱自兰..一种敬老院老龄人的健康状态预测方法[J].计算机工程与应用,2014,(17):236-240,5.基金项目
国家自然科学基金(No.90818004);湖南省科技计划项目(No.2011FJ4300,No.2012FJ3047,No.2013FJ4048);湖南省教育厅科研项目(No.11C0533)。 ()