Paper Info
Title
Analyzing and management of health care expenditure and gross domestic product (GDP) growth rate by adaptive neuro-fuzzy technique.
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. 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.
Year
DOI
Venue
2016
10.1016/j.chb.2016.07.052
Computers in Human Behavior
Keywords
Field
DocType
ANFIS,Forecasting,Gross domestic product,Health care expenditure
Econometrics,Health care,Measures of national income and output,Psychology,Knowledge management,GDP deflator,Adaptive neuro fuzzy inference system,Gross private domestic investment,Real gross domestic product,Gross domestic income,Gross domestic product
Journal
Volume
Issue
ISSN
64
C
0747-5632
Citations 
PageRank 
References 
0
0.34
8
Authors
5
Name
Order
Citations
PageRank
Igor Mladenovic151.53
Milos Milovancevic251.87
Svetlana Sokolov Mladenovic341.17
Vladislav Marjanovic400.34
Biljana Petkovic500.34