Davazdahemami, Behrooz

At UW-Whitewater

Affiliation
University - Faculty/Staff
Department
IT SUPPLY CHAIN MANAGEMENT
Position
ASSISTANT PROFESSOR
Office Phone
(262) 472-1322
Office Location
HH 3301

PhD in Business Administration
Management Science and Information Systems
Oklahoma State University
2019
Master of Science
Industrial Engineering
University of Tehran
2012
Bachelor of Science
Industrial Engineering
Isfahan University of Technology
2009

Decision Sciences Institute
September 2016 - Current
Association of Information Systems
August 2016 - Current
Institute for Operations Research and the Management Sciences (INFORMS)
June 2016 - Current

288 Predicting Potential Bouncebacks to the Emergency Department: A Machine Learning Approach
Annals of Emergency Medicine
Vol. 74 Iss. 4 Pg. S114
Examining the effect of prescription sequence on developing adverse drug reactions: The case of renal failure in diabetic patients
International Journal of Medical Informatics
Vol. 125 Iss. May 2019 Pg. 62--70
The confounding role of common diabetes medications in developing acute renal failure: A data mining approach with emphasis on drug-drug interactions
Expert Systems with Applications
Vol. 123 Pg. 168--177
Using Big Data Analytics and Statistical Methods for Improving Drug Safety
Using predictive analytics to identify drug-resistant epilepsy patients
Health informatics journal
Pg. 1460458219833120
A chronological pharmacovigilance network analytics approach for predicting adverse drug events
Journal of the American Medical Informatics Association
Vol. 25 Iss. 10 Pg. 1311--1321
The Role of Parallelism in Resolving the Privacy Paradox of Information Disclosure in Social Networks
Training, Self-Efficacy, and Performance; a Replication Study
AIS Transactions on Replication Research
Vol. 4 Iss. 1 Pg. 3
Addiction to mobile phone or addiction through mobile phone?
Pg. 1467--1476
An Integrated Artificial Neural Network Approach for Predicting Internet Penetration Rate
A Mathematical Model and Two Genetic Algorithms for Balancing Mixed-Model Two-Sided Assembly Lines with Multifunctional Workers Assignment

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