Yazar
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Data analytics for quality management in Industry 4.0 from a MSME perspective
Sariyer Ataman, G.; Mangla, S.K.; Kazancoglu, Y.; Tasar, C.O.; Luthra, S. (Springer, 2021)Advances in smart technologies (Industry 4.0) assist managers of Micro Small and Medium Enterprises (MSME) to control quality in manufacturing using sophisticated data-driven techniques. This study presents a 3-stage model ... -
How machine learning facilitates decision making in emergency departments: Modelling diagnostic test orders
Sariyer, G.; Ataman, M.G. (Wiley, 2021)Objectives: Since emergency departments (EDs) are responsible for providing initial care for patients who may need urgent medical care, they are highly sensitive to increased patient delays. A key factor that increases ... -
Predicting waiting and treatment times in emergency departments using ordinal logistic regression models
Ataman, M.G.; Sariyer Ataman, G. (Elsevier, 2021-03)Background: Since providing timely care is the primary concern of emergency departments (EDs), long waiting times increase patient dissatisfaction and adverse outcomes. Especially in overcrowded ED environments, emergency ... -
Stock market prediction in brics countries using linear regression and artificial neural network hybrid models
Ataman, M.G.; Kahraman, S. (World Scientific, 2021)The BRICS (Brazil, Russia, India, China and South Africa) acronym was created by the International Monetary Foundation (IMF)-Group of Seven (G7) to represent the bloc of developing economies which crucially impact on the ...
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