Building new model of intelligent mutual support for the elderly based on the decision support platform of the health management data center

Abstract

At this stage, China is in the stage of population aging. With the continuous growth of the elderly population, the pension problem is also increasingly serious. The existing pension model has such problems as small service scope, low service level, and few types of services, which is difficult to provide good pension services for the elderly. Therefore, it is necessary to actively explore some new pension models to break this situation. Therefore, based on the analysis of the current situation of the elderly who lost their independence in the western rural areas, this paper put forward a mutual pension model. In order to optimize the model, this paper also constructed a health management data decision support platform based on Internet technology. In this paper, the platform was applied to the intelligent mutual-aid pension model to realize intelligent management of the mutual-aid pension model. At the same time, this paper also carried out further experimental research on the recommendation performance of elderly care services by combining the discriminant analysis method. From the experimental results, in terms of service recommendation time, the average test result of this method was 18.51 s, while the average test result of the traditional method was 25.18 s; In terms of recommended coverage, the average test result of this method was 88.63 %, and the average test result of the traditional method was 84.28 %; In terms of recommendation accuracy, the average test result of this method was 92.60 %, and the average test result of the traditional method was 88.56 %. To sum up, this method can effectively improve the performance of pension service recommendation, so as to provide more accurate pension services for the elderly.