期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2018
卷号：10
期号：2
出版社：International Center for Scientific Research and Studies
摘要：It may be difficult to forecast mortality with conventional methods such as linear regression due to characteristics of data and appropriate tools for the prediction. In this article, two metaheuristic approaches namely sequential evolutionary procedures based on virus optimisation and elephant swarm water search are proposed to forecast mortality in Thailand. Related factors such as the number of populations, births, healthcare resources, and patients are included in the model. The results show that mean absolute errors of the virus optimisation algorithm are better, but statistically significant only on the quadratic model. Metaheuristic approaches are the powerful tool for predictions mortality and aid decision making.
关键词：Health forecasting; Mortality; Health resources; Elephant Swarm ; Water Search Algorithm; Virus Optimisation Algorithm
