Behrooz Davazdahemami

According to our database, Behrooz Davazdahemami authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases.

Kazim Topuz, Behrooz Davazdahemami, Dursun Delen

Ann. Oper. Res., October, 2024

Predicting and Mitigating Freshmen Student Attrition: A Local-Explainable Machine Learning Framework.

Dursun Delen, Behrooz Davazdahemami, Elham Rasouli Dezfouli

Inf. Syst. Frontiers, April, 2024

Introduction to the Minitrack on Data Science and Machine Learning to Support Business Decisions.

Dursun Delen, Behrooz Davazdahemami, Hamed Majidi Zolbanin

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics.

Dursun Delen, Behrooz Davazdahemami

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

A Machine Learning Framework for Assessing the Risk of Venous Thromboembolism in Patients Undergoing Hip or Knee Replacement.

Elham Rasouli Dezfouli, Dursun Delen, Huimin Zhao, Behrooz Davazdahemami

J. Heal. Informatics Res., December, 2022

Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases.

Hamed Majidi Zolbanin, Behrooz Davazdahemami, Dursun Delen, Amir Hassan Zadeh

Inf. Manag., 2022

An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions.

Behrooz Davazdahemami, Hamed Majidi Zolbanin, Dursun Delen

Decis. Support Syst., 2022

2021

Miscommunication in the age of communication: A crowdsourcing framework for symptom surveillance at the time of pandemics.

Hamed Majidi Zolbanin, Amir Hassan Zadeh, Behrooz Davazdahemami

Int. J. Medical Informatics, 2021

2020

Using predictive analytics to identify drug-resistant epilepsy patients.

Dursun Delen, Behrooz Davazdahemami, Enes Eryarsoy, Leman Tomak, Abhinav Valluru

Health Informatics J., 2020

From General to Situational Privacy Concerns: A New Mechanism to Explain Information Disclosure in Social Networks.

Behrooz Davazdahemami, Bryan I. Hammer, Pankush Kalgotra, Andy Luse

Commun. Assoc. Inf. Syst., 2020

Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics.

Dursun Delen, Behrooz Davazdahemami, Hamed Majidi Zolbanin

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Examining the effect of prescription sequence on developing adverse drug reactions: The case of renal failure in diabetic patients.

Behrooz Davazdahemami, Dursun Delen

Int. J. Medical Informatics, 2019

The confounding role of common diabetes medications in developing acute renal failure: A data mining approach with emphasis on drug-drug interactions.

Behrooz Davazdahemami, Dursun Delen

Expert Syst. Appl., 2019

2018

A chronological pharmacovigilance network analytics approach for predicting adverse drug events.

Behrooz Davazdahemami, Dursun Delen

J. Am. Medical Informatics Assoc., 2018

Training, Self-Efficacy, and Performance; a Replication Study.

Behrooz Davazdahemami, Andy Luse, Kevin P. Scheibe, Anthony M. Townsend

AIS Trans. Replication Res., 2018

The Role of Parallelism in Resolving the Privacy Paradox of Information Disclosure in Social Networks.

Behrooz Davazdahemami, Bryan I. Hammer, Andy Luse, Pankush Kalgotra

Proceedings of the International Conference on Information Systems, 2018

2016

Addiction to Mobile Phone or Addiction through Mobile Phone?

Behrooz Davazdahemami, Bryan I. Hammer, Amr A. Soror

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016