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Abdullah Albizri
Researcher at Montclair State University
Publications - 20
Citations - 228
Abdullah Albizri is an academic researcher from Montclair State University. The author has contributed to research in topics: Computer science & Decision support system. The author has an hindex of 4, co-authored 14 publications receiving 109 citations.
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Journal ArticleDOI
The Sustainability Imperative in Information Systems Research
Stefan Seidel,Pratyush Bharati,Gilbert Fridgen,Gilbert Fridgen,Richard T. Watson,Abdullah Albizri,Marie-Claude Boudreau,Tom Butler,Leona Chandra Kruse,Indira R. Guzman,Helena Karsten,Habin Lee,Nigel P. Melville,Daniel Rush,Janet Toland,Stephanie Watts +15 more
TL;DR: It is suggested that the IS community should embrace sustainability as a core research imperative and integrate sustainability-related dimensions to research in theory and method, in rigor and relevance, and in the areas one chooses to research.
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Responsible Artificial Intelligence in Healthcare: Predicting and Preventing Insurance Claim Denials for Economic and Social Wellbeing
TL;DR: A Responsible Artificial Intelligence (RAI) solution helping hospital administrators identify potentially denied claims and help patients focus on their recovery instead of dealing with appealing claims is developed.
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Integrating human knowledge into artificial intelligence for complex and ill-structured problems: Informed artificial intelligence
TL;DR: This paper proposed an approach called informed AI (IAI) by integrating human domain knowledge into AI to develop effective and reliable data labeling and model explainability processes for complex and ill-structured problems that lack transparency and have unclear goals.
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Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis
TL;DR: A multi-stage framework to build an AI-based decision support tool that can predict the 5-year survivability of lung cancer patients and has significant practical implications in helping physicians predict prognosis and develop treatment plans for Lung cancer patients is proposed.
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Evaluation of financial statements fraud detection research: a multi-disciplinary analysis
TL;DR: In this article, the authors compile prior multi-disciplinary literature on financial statement fraud detection and compare the findings of these different domains and find that the findings from different domains are more impactful when combined.