| No Place Like Home: Cross-National Data Analysis of the Efficacy of Social Distancing During the COVID-19 Pandemic D Delen, E Eryarsoy, B Davazdahemami JMIR Public Health and Surveillance 6 (2), e19862, 2020 | 108 | 2020 |
| Data analytics for the sustainable use of resources in hospitals: predicting the length of stay for patients with chronic diseases HM Zolbanin, B Davazdahemami, D Delen, AH Zadeh Information & Management 59 (5), 103282, 2022 | 50 | 2022 |
| A chronological pharmacovigilance network analytics approach for predicting adverse drug events B Davazdahemami, D Delen Journal of the American Medical Informatics Association 25 (10), 1311-1321, 2018 | 39 | 2018 |
| Addiction to mobile phone or addiction through mobile phone? B Davazdahemami, B Hammer, A Soror 2016 49th Hawaii international conference on system sciences (HICSS), 1467-1476, 2016 | 39 | 2016 |
| An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions B Davazdahemami, HM Zolbanin, D Delen Decision Support Systems 161, 113730, 2022 | 35 | 2022 |
| Using predictive analytics to identify drug-resistant epilepsy patients D Delen, B Davazdahemami, E Eryarsoy, L Tomak, A Valluru Health informatics journal 26 (1), 449-460, 2020 | 35 | 2020 |
| A Novel Diffusion-Based Model for Estimating Cases, and Fatalities in Epidemics: The Case of COVID-19 E Eryarsoy, D Delen, B Davazdahemami, K Topuz Journal of Business Research 124, 163-178, 2021 | 25 | 2021 |
| The confounding role of common diabetes medications in developing acute renal failure: A data mining approach with emphasis on drug-drug interactions B Davazdahemami, D Delen Expert Systems with Applications 123, 168-177, 2019 | 25 | 2019 |
| A deep learning approach for predicting early bounce-backs to the emergency departments B Davazdahemami, P Peng, D Delen Healthcare Analytics 2, 100018, 2022 | 20 | 2022 |
| An explanatory analytics framework for early detection of chronic risk factors in pandemics B Davazdahemami, HM Zolbanin, D Delen Healthcare Analytics, 100020, 2022 | 19 | 2022 |
| Training, self-efficacy, and performance; A replication study B Davazdahemami, A Luse, KP Scheibe, AM Townsend AIS Transactions on Replication Research 4 (1), 3, 2018 | 18 | 2018 |
| Predicting and mitigating freshmen student attrition: A local-explainable machine learning framework D Delen, B Davazdahemami, E Rasouli Dezfouli Information Systems Frontiers 26 (2), 641-662, 2024 | 15 | 2024 |
| From General to Situational Privacy Concerns: A New Mechanism to Explain Information Disclosure in Social Networks B Davazdahemami, B Hammer, P Kalgotra, A Luse Communications of the Association for Information Systems, 2020 | 15* | 2020 |
| A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases K Topuz, B Davazdahemami, D Delen Annals of Operations Research 341 (1), 673-697, 2024 | 14 | 2024 |
| Miscommunication in the Age of Communication: A Crowdsourcing Framework for Symptom Surveillance at the Time of Pandemics HM Zolbanin, A Hassan Zadeh, B Davazdahemami International Journal of Medical Informatics, 2021 | 14 | 2021 |
| Examining the effect of prescription sequence on developing adverse drug reactions: The case of renal failure in diabetic patients B Davazdahemami, D Delen International Journal of Medical Informatics 125 (May 2019), 62-70, 2019 | 11 | 2019 |
| A developer-oriented recommender model for the app store: A predictive network analytics approach B Davazdahemami, P Kalgotra, HM Zolbanin, D Delen Journal of Business Research 158, 113649, 2023 | 8 | 2023 |
| A machine learning framework for assessing the risk of venous thromboembolism in patients undergoing hip or knee replacement E Rasouli Dezfouli, D Delen, H Zhao, B Davazdahemami Journal of Healthcare Informatics Research 6 (4), 423-441, 2022 | 8* | 2022 |
| Adjusting COVID-19 reports for countries’ age disparities: A comparative framework for reporting performances E Eryarsoy, D Delen, B Davazdahemami MedRxiv, 2020.08. 31.20185223, 2020 | 3 | 2020 |
| Introduction to the Minitrack on Data Science and Machine Learning to Support Business Decisions B Davazdahemami, H Zolbanin, D Delen | | 2025 |
Dursun DelenRegents Professor, Spears and Patterson Chairs, Spears School of Business, Oklahoma State UniversityVerified email at okstate.edu
