Health Care and Pension Plan Planning Based on Improved Leslie Model

Abstract

LesLie model is popular for the analysis of the population structure. However, on basis of the characteristics of the Leslie model, it can only predict the years in which the age range is taken as a unit, making decision makers fail to flexibly formulate effective plans for population changes. Therefore, in this paper, the fertility rate combination model and the Lee Carter model are combined with the Leslie model to cooperate with the GM (1, 1) gray-scale prediction model and multiple linear regression model to predict the population structure, and conduct algorithmic verification and medical resource allocation of the Shenzhen population status, thus verifying the feasibility and value of the algorithm.