Ali Dag, PhD
Associate Professor
Accounting and Business Intelligence and Analytics

Contact
Heider College of Business
Accounting and Business Intelligence & Analytics - Business
Business Analytics (Graduate Certificate)
Analytics (Master of Science)
Business Intelligence and Analytics (Master of Science)
Graduate School
HARP - Harper Center for Student Life & Learn
Ali Dag, PhD
Associate Professor
Accounting and Business Intelligence and Analytics
BIA 781N : Machine Learning
Teaching Interests
- Machine Learning
Research Focus
Business & Data Analytics, Heatlhcare Operations, Machine Learning in Business Applications, Operations ResearchDepartment
Accounting and Business Intelligence & Analytics
Position
Associate Professor
Articles
- Elsevier
A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival 2019 - Emerald
A comparative data analytic approach to construct a risk trade-off for cardiac patients’ re-admissions
119&1, p. 189-209 2019 - Elsevier
Predicting graft survival among kidney transplant recipients: A Bayesian decision support model
106, p. 97-109 2018 - Springer
An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites, p. 1-11 2018 - The Impact of Cultural Perception on the Individual Health Care Consumer: A Comparison of Germany and United States
3, p. 252-258 2018 - Factors Associated with Readmission of Cardiac Patients
6-4, p. 2372–5079 2018 - Elsevier
Predicting heart transplantation outcomes through data analytics
94, p. 42-52 2017 - Springer
Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach, p. 1-18 2017 - Elsevier
A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival
86, p. 1-12 2016 - Springer International Publishing
A machine learning-based approach to predict the velocity profiles in small streams
30&1, p. 43-61 2016 - Elsevier
A Bayesian network-based data analytical approach to predict velocity distribution in small streams
18 & 3, p. 466-480 2015