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Asil Oztekin, Ph.D.

Affiliations: 
2010 Industrial Engineering & Management Oklahoma State University, Stillwater, OK, United States 
Area:
Industrial Engineering, Biomedical Engineering
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"Asil Oztekin"
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Zhenyu Kong grad student 2010 Oklahoma State University
 (Data mining-based survival analysis and simulation modeling for lung transplant.)

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Publications

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Simsek S, Dag A, Tiahrt T, et al. (2020) A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories Omega-International Journal of Management Science. 102296
Kraus M, Feuerriegel S, Oztekin A. (2020) Deep learning in business analytics and operations research: Models, applications and managerial implications European Journal of Operational Research. 281: 628-641
Nasir M, Summerfield N, Dag A, et al. (2020) A service analytic approach to studying patient no-shows Service Business. 14: 287-313
Sener A, Barut M, Oztekin A, et al. (2019) The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach Journal of Business Research. 99: 87-104
Albashrawi M, Kartal HB, Oztekin A, et al. (2019) Self-Reported and Computer-Recorded Experience in Mobile Banking: a Multi-Phase Path Analytic Approach Information Systems Frontiers. 21: 773-790
Rouyendegh BD, Topuz K, Dag A, et al. (2019) An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites Information Systems Frontiers. 21: 1345-1355
Rouyendegh BD, Oztekin A, Ekong J, et al. (2019) Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach Annals of Operations Research. 278: 361-378
Oztekin A, Masterson RR. (2018) A predictive analytic approach to determine construction cost estimates International Journal of Operational Research. 32: 169-200
Oztekin A, Al-Ebbini L, Sevkli Z, et al. (2018) A decision analytic approach to predicting quality of life for lung transplant recipients: A hybrid genetic algorithms-based methodology European Journal of Operational Research. 266: 639-651
Oztekin A. (2018) Information fusion-based meta-classification predictive modeling for ETF performance Information Systems Frontiers. 20: 223-238
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