Analyzing and management of health care expenditure and gross domestic product (GDP) growth rate by adaptive neuro-fuzzy technique. (November 2016)

• Record Type: Journal Article
• Authors: Mladenović, Igor; Milovančević, Miloš; Sokolov Mladenović, Svetlana; Marjanović, Vladislav; Petković, Biljana
• Is Part Of: Computers in human behavior. Volume 64(2016)
• Page Start: 524
• Page End: 530
• Publication Date: 2016-11
• Subjects: ANFIS -- Forecasting -- Gross domestic product -- Health care expenditure; Interactive computer systems -- Periodicals; Man-machine systems -- Periodicals; 004.019
• DOI: 10.1016/j.chb.2016.07.052
• Languages: English
• ISSNs: 0747-5632

Abstract

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. Highlights: Economic growth on the basis on combination of health care expenditure. Gross domestic product (GDP) was used as economic growth indicator. To select the most influential factors for the GDP growth rate forecasting. The total health care expenditure has the highest influence on the GDP growth rate.