Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6836619 | Computers in Human Behavior | 2016 | 7 Pages |
Abstract
Expenditures on health care continue to increase substantially, both absolutely and relative to national income, throughout most of the developed world. The main goal in this study was to analyze the influence of health care expenditures on the economic growth. Gross domestic product (GDP) was used as economic growth indicator. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data in order to select the most influential factors for the GDP growth rate forecasting. The ANFIS process for variable selection was also implemented in order to detect the predominant factors affecting the forecasting of economic growth. According the results the total health care expenditure has the highest influence on the GDP growth rate forecasting. The improvements in health status will be worth the effort even if they turn out to have little effect on growth.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Igor MladenoviÄ, MiloÅ¡ MilovanÄeviÄ, Svetlana Sokolov MladenoviÄ, Vladislav MarjanoviÄ, Biljana PetkoviÄ,