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Ali Dag
Ali Dag
Associate Professor of Analytics, Heider College of Business, Creighton University
Verified email at creighton.edu
Title
Cited by
Cited by
Year
Predicting graft survival among kidney transplant recipients: A Bayesian decision support model
K Topuz, FD Zengul, A Dag, A Almehmi
Decision Support Systems 106, 97-109, 2018
832018
Predicting heart transplantation outcomes through data analytics
A Dag, A Yucel, S Bulur, FM Megahed
Decision Support Systems 94, 42-52, 2017
832017
Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach
BD Rouyendegh, J Ekong, A Dag
Annals of Operations Research, 1-18, 2017
722017
A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival
A Dag, K Topuz, S Bulur, MF Megahed
Decision Support Systems 86, 1-12, 2016
642016
A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival
S Simsek, U Kursuncu, E Kibis, M AnisAbdellatif, A Dag
Expert Systems with Applications, 112863, 2020
342020
An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites
BD Rouyendegh, K Topuz, A Dag
Information Systems Frontiers, 1-11, 2018
332018
A comparative data analytic approach to construct a risk trade-off for cardiac patients’ re-admissions
M Nasir, C South-Winter, S Ragothaman, A Dag
Industrial Management & Data Systems 119 (1), 189-209, 2019
182019
A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories
S Simsek, A Dag, T Tiahrt, A Oztekin
Omega 100, 102296, 2021
172021
Data analytics approaches for breast cancer survivability: comparison of data mining methods
E Kibis, E Buyuktahtakin, A Dag
Proceedings of the 2017 Industrial and Systems Engineering Conference, 2017
162017
A machine learning-based approach to predict the velocity profiles in small streams
O Genš, A Dağ
Water resources management 30 (1), 43-61, 2016
152016
Stratifying No-show Patients into Multiple Risk Groups via a Holistic Data Analytics-based Framework
S Simsek, T Tiahrt, A Dag
Decision Support Systems, 2020
132020
Developing a Decision Support System to Detect Material Weaknesses in Internal Control
M Nasir, S Simsek, E Cornelsen, S Ragothaman, A Dag
Decision Support Systems, 2021
102021
Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach
A Sener, M Barut, A Dag, MB Yildirim
Annals of Operations Research, 1-34, 2019
82019
A Bayesian network-based data analytical approach to predict velocity distribution in small streams
O Genc, A Dag
Journal of Hydroinformatics 18 (3), 466-480, 2016
62016
A service analytic approach to studying patient no-shows
M Nasir, N Summerfield, A Dag, A Oztekin
Service Business, 1-27, 2020
42020
Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach
M Nasir, A Dag, WA Young, D Delen
Decision Sciences Journal of Innovative Education 18 (3), 374-408, 2020
32020
A Bayesian approach to detect the firms with material weakness in internal control
S Simsek, E Bayraktar, S Ragothaman, A Dag
2018 Institute of Industrial and Systems Engineers Annual Conference andá…, 2019
32019
Factors associated with readmission of cardiac patients
CA South-Winter, A Dag, S Ragothaman
International Journal of Health Sciences 6 (4), 2372-5079, 2018
22018
Preface : Data Mining & Decision Analytics
VCP Chen, SB Kim, A Dag
Annals of Operations Research 303 (1-3), 2021
12021
Predicting hotel reviews from sentiment: a multinomial classification framework
A Yucel, M Caglar, HA Dolatsara, B George, A Dag
Journal of Modelling in Management 17 (2), 697-714, 2021
12021
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