Ali Dag, PhD
Ali Dag, PhD

Ali Dag, PhD

Associate Professor
Heider College of Business


  • Machine Learning
  • Business & Data Analytics
  • Operations Research

Academic Appointments


  • Accounting and Business Intelligence & Analytics


  • Associate Professor


BIA 479B : Machine Learning
BIA 781N : Machine Learning

Publications and Presentations


  • A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival, Elsevier, 2019
  • A comparative data analytic approach to construct a risk trade-off for cardiac patients’ re-admissions, Emerald, 119&1, 189-209, 2019
  • Predicting graft survival among kidney transplant recipients: A Bayesian decision support model, Elsevier, 106, 97-109, 2018
  • An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites, Springer, 1-11, 2018
  • The Impact of Cultural Perception on the Individual Health Care Consumer: A Comparison of Germany and United States, 3, 252-258, 2018
  • Factors Associated with Readmission of Cardiac Patients, 6-4, 2372–5079, 2018
  • Predicting heart transplantation outcomes through data analytics, Elsevier, 94, 42-52, 2017
  • Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach, Springer, 1-18, 2017
  • A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival, Elsevier, 86, 1-12, 2016
  • A machine learning-based approach to predict the velocity profiles in small streams, Springer International Publishing, 30&1, 43-61, 2016
  • A Bayesian network-based data analytical approach to predict velocity distribution in small streams, Elsevier, 18 & 3, 466-480, 2015

Research and Scholarship

Research and Scholarship Interests

  • Business & Data Analytics, Heatlhcare Operations, Machine Learning in Business Applications, Operations Research

Current Research Projects

  • Machine Learning Applications in Healthcare and Finance