Ondokuz Mayıs Üniversitesi
PYO. SCIENCE. 1904.17.004
The purpose of this study is to determine the factors that influence the effectiveness of the health sector by combining Stochastic Frontier Analysis (SFA), Generalized Linear Models (GLM) and Heuristic Algorithms methods. In accordance with this purpose, firstly, the health system efficiencies of 29 OECD countries are estimated by the SFA method. Within the scope of this study, it is also aimed to select the factors influencing the efficiency of the health systems in OECD countries by employing Heuristic Algorithm methods such as Artificial Bee Colony Algorithm, Genetic Algorithm, and Differential Evolution Algorithm. Furthermore, GLM’s such as Truncated, Normal, Gamma and Tweedie distributions are employed for comparisons.
PYO. SCIENCE. 1904.17.004
Primary Language | English |
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Subjects | Artificial Intelligence, Computer Software, Software Testing, Verification and Validation, Software Engineering (Other), Mathematical Sciences, Industrial Engineering |
Journal Section | Research Articles |
Authors | |
Project Number | PYO. SCIENCE. 1904.17.004 |
Publication Date | October 1, 2020 |
Submission Date | April 5, 2020 |
Acceptance Date | August 23, 2020 |
Published in Issue | Year 2020 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.