https://orcid.org/0000-0001-6148-4959
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Soheil Hosseinzadeh, Saeedeh Ketabi, Arezoo Atighehchian & Roghieh Nazari. (2022) Hospital bed capacity management during the COVID-19 outbreak using system dynamics: A case study in Amol public hospitals, Iran. International Journal of Healthcare Management 0:0, pages 1-13.
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Ibtissam Khalfaoui & Amar Hammouche. (2021) Modelling and optimizing health emergency services: A regional study case. International Journal of Healthcare Management 14:4, pages 1551-1562.
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Arash Apornak, Sadigh Raissi, Abbas Keramati & Kaveh Khalili-Damghani. (2021) Human resources optimization in hospital emergency using the genetic algorithm approach. International Journal of Healthcare Management 14:4, pages 1441-1448.
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Kayla Reece, Jeff Avansino, Maria Brumm, Lynn Martin & Theodore Eugene Day. (2021) Determining future capacity for an Ambulatory Surgical Center with discrete event simulation. International Journal of Healthcare Management 14:3, pages 920-925.
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M. Usman Ahmad, Angie Zhang & Rahul Mhaskar. (2021) A predictive model for decreasing clinical no-show rates in a primary care setting. International Journal of Healthcare Management 14:3, pages 829-836.
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Dominic Jenkins, Ashad Hannan, Raheel Qureshi, Landric Benjamin Dsouza & Stephen Hodges Thomas. (2020) Emergency department operations: Time to initial physician in a demographically partitioned emergency department. International Journal of Healthcare Management 13:sup1, pages 464-471.
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Muhammet Gul & Erkan Celik. (2020) An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments. Health Systems 9:4, pages 263-284.
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Theresia A. Budiman, Charlotte R. James, Nicholas C. Howlett & Richard M. Wood. (2023) Near real-time prediction of urgent care hospital performance metrics using scalable random forest algorithm: A multi-site development. Healthcare Analytics 3, pages 100169.
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Halil Ibrahim Cicekdagi, Ertugrul Ayyildiz & Mehmet Cabir Akkoyunlu. (2023) Enhancing search and rescue team performance: investigating factors behind social loafing. Natural Hazards.
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Hugo Álvarez-Chaves, Pablo Muñoz & María D. R-Moreno. (2023) Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital. Journal of Intelligent Information Systems.
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Eduardo Silva, Margarida F. Pereira, Joana T. Vieira, João Ferreira‐Coimbra, Mariana Henriques & Nuno F. Rodrigues. (2023) Predicting hospital emergency department visits accurately: A systematic review. The International Journal of Health Planning and Management 38:4, pages 904-917.
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Yavuz Acar, Onur Cetin, Ozgun Burcu Rodopman, Recep Minga & Hasret Doguer. 2023. Handbook of Research on Quality and Competitiveness in the Healthcare Services Sector. Handbook of Research on Quality and Competitiveness in the Healthcare Services Sector
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Arnab Mitra, Arnav Jain, Avinash Kishore & Pravin Kumar. (2022) A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach. Operations Research Forum 3:4.
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Huiquan Zhou, Hao Luo, Kevin Ka-Lun Lau, Xingxing Qian, Chao Ren & Puihing Chau. (2022) Predicting Emergency Department Utilization among Older Hong Kong Population in Hot Season: A Machine Learning Approach. Information 13:9, pages 410.
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Mustafa Gökalp Ataman & Görkem Sarıyer. (2022) Mode of Arrival Aware Models for Forecasting Flow of Patient and Length of Stay in Emergency Departments. Eurasian Journal of Emergency Medicine 21:1, pages 34-44.
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Luwen Zhang, Dian Jing, Qiaochu Lu & Shuqun Shen. (2021) NO2 exposure increases eczema outpatient visits in Guangzhou, China: an indication for hospital management. BMC Public Health 21:1.
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Vahap ÖNEN. (2020) ARIMA YÖNTEMİYLE TÜRKİYE ’NİN HAVA YOLU KARGO TALEP TAHMİN MODELLEMESİ VE ÖNGÖRÜSÜTURKEY’S AIR FREIGHT DEMAND ESTIMATION MODELLING AND FORCASTING BY ARIMA METHODOLOGY. Yönetim ve Ekonomi Araştırmaları Dergisi 18:4, pages 29-53.
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Junfeng Peng, Chuan Chen, Mi Zhou, Xiaohua Xie, Yuqi Zhou & Ching-Hsing Luo. (2020) Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study. JMIR Medical Informatics 8:3, pages e13075.
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Görkem Sarıyer & Ceren Öcal Taşar. 2020. Computational Intelligence and Soft Computing Applications in Healthcare Management Science. Computational Intelligence and Soft Computing Applications in Healthcare Management Science
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Melih Yucesan, Suleyman Mete, Faruk Serin, Erkan Celik & Muhammet Gul. 2020. Computational Intelligence and Soft Computing Applications in Healthcare Management Science. Computational Intelligence and Soft Computing Applications in Healthcare Management Science
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Oğuzhan Sönmez & Kenan Zengin. (2019) Yiyecek ve İçecek İşletmelerinde Talep Tahmini: Yapay Sinir Ağları ve Regresyon Yöntemleriyle Bir Karşılaştırma. European Journal of Science and Technology, pages 302-308.
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Görkem Sariyer, Ceren Öcal Taşar & Gizem Ersoy Cepe. (2019) Use of data mining techniques to classify length of stay of emergency department patients. Bio-Algorithms and Med-Systems 15:1.
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