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 heart transplantation outcomes through data analytics
A Dag, A Yucel, S Bulur, FM Megahed
Decision Support Systems 94, 42-52, 2017
522017
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
452016
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
372018
Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach
BD Rouyendegh, J Ekong, A Dag
Annals of Operations Research, 1-18, 2017
312017
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
122018
A machine learning-based approach to predict the velocity profiles in small streams
O Genē, A Dağ
Water resources management 30 (1), 43-61, 2016
102016
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
82017
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 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
52020
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
52019
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
22020
A Bayesian Approach to Detect the Firms with Material Weaknesses in Internal Control
A Simsek, S., Bayraktar, E., Ragothaman, S., & Dag
Industrial and Systems Engineering Conference (IISE), 1247-1253, 2018
2*2018
Factors Associated with Readmission of Cardiac Patients
S South-Winter, C. A., Dag, A., & Ragothaman
International Journal of Health Sciences 6 (4), 2372–5079, 2018
22018
A service analytic approach to studying patient no-shows
M Nasir, N Summerfield, A Dag, A Oztekin
Service Business, 1-27, 2020
12020
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
12019
A novel study for the modeling of monthly evaporation using k-nearest neighbor algorithms for a semi-arid continental climate
O Genc, A Dag, M Ardiclioglu
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
12015
A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories
S Simsek, A Dag, T Tiahrt, A Oztekin
Omega, 102296, 2020
2020
Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach
M Nasir, A Dag, W Young, D Delen
Decision Sciences Journal of Innovative Education, 2020
2020
A Data Scientific Approach to Measure Hospital Productivity
B Daneshvar Rouyendegh, A Oztekin, J Ekong, A Dag
Data Science and Productivity Analytics, International Series in Operations …, 2020
2020
The Impact of Cultural Perception on the Individual Health Care Consumer: A Comparison of Germany and United States
S Carole, A Dag, B George
European Journal of Pharmaceutical and Medical Research 3, 252-258, 2018
2018
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