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Behrooz Davazdahemami
Behrooz Davazdahemami
Associate Professor at University of Wisconsin-Whitewater
Geverifieerd e-mailadres voor uww.edu - Homepage
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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
1052020
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
442022
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
402018
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
382016
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
352020
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
302022
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
252019
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
242021
A deep learning approach for predicting early bounce-backs to the emergency departments
B Davazdahemami, P Peng, D Delen
Healthcare Analytics 2, 100018, 2022
192022
An explanatory analytics framework for early detection of chronic risk factors in pandemics
B Davazdahemami, HM Zolbanin, D Delen
Healthcare Analytics, 100020, 2022
192022
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
172018
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
16*2020
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
132021
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
112019
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
92024
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, 1-25, 2023
62023
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
52023
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
52022
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
32020
Introduction to the Minitrack on Data Science and Machine Learning to Support Business Decisions
D Delen, B Davazdahemami, H Zolbanin
2024
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Artikelen 1–20