Addiction to Mobile Phone or Addiction through Mobile Phone? - Behrooz Davazdahemami; Bryan I. Hammer; Amr A. Soror (HICSS, 2016)

The Role of Parallelism in Resolving the Privacy Paradox of Information Disclosure in Social Networks. - Behrooz Davazdahemami; Bryan I. Hammer; Andy Luse; Pankush Kalgotra (ICIS, 2018)

Training, Self-Efficacy, and Performance; a Replication Study. - Behrooz Davazdahemami; Andy Luse; Kevin P. Scheibe; Anthony M. Townsend (AIS Trans. Replication Res., 2018)

A chronological pharmacovigilance network analytics approach for predicting adverse drug events. - Behrooz Davazdahemami; Dursun Delen (J. Am. Medical Informatics Assoc., 2018)

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)

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)

Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics. - Dursun Delen; Behrooz Davazdahemami; Hamed Majidi Zolbanin (HICSS, 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)

Using predictive analytics to identify drug-resistant epilepsy patients. - Dursun Delen; Behrooz Davazdahemami; Enes Eryarsoy; Leman Tomak; Abhinav Valluru (Health Informatics J., 2020)

Miscommunication in the age of communication: A crowdsourcing framework for symptom surveillance at the time of pandemics. - Hamed Majidi Zolbanin; Amir Hassan Zadeh 002; Behrooz Davazdahemami (Int. J. Medical Informatics, 2021)

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)

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 002 (Inf. Manag., 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 003; Behrooz Davazdahemami (J. Heal. Informatics Res., 2022)

Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics. - Dursun Delen; Behrooz Davazdahemami (HICSS, 2023)

Introduction to the Minitrack on Data Science and Machine Learning to Support Business Decisions. - Dursun Delen; Behrooz Davazdahemami; Hamed Majidi Zolbanin (HICSS, 2024)

Revitalizing the Scholarly Compass: Harnessing GPT-Powered Automation for Dynamic Aims & Scope Evolution in Academic Journals. - Behrooz Davazdahemami; Hamed Majidi Zolbanin; Amir Hassan Zadeh 002 (Commun. Assoc. Inf. Syst., 2024)

Predicting and Mitigating Freshmen Student Attrition: A Local-Explainable Machine Learning Framework. - Dursun Delen; Behrooz Davazdahemami; Elham Rasouli Dezfouli (Inf. Syst. Frontiers, 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., 2024)