Abdulaziz Ahmed

According to our database, Abdulaziz Ahmed authored at least 23 papers between 2021 and 2025.

Collaborative distances:

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

2025

Dimension selection: an innovative metaheuristic strategy for particle swarm optimization.

Tareq M. Shami, Qasem Al-Tashi, Nima Khodadadi, Said Jadid Abdulkadir, Abdulaziz Ahmed, Seyedali Mirjalili

Clust. Comput., October, 2025

A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes.

Hieu Nghiem, Hemanth Reddy Singareddy, Zhuqi Miao, Jivan Lamichhane, Abdulaziz Ahmed, Johnson Thomas, Dursun Delen, William Paiva

CoRR, June, 2025

Deep Learning-Based Forecasting of Boarding Patient Counts to Address ED Overcrowding.

Orhun Vural, Bunyamin Ozaydin, Khalid Y. Aram, James Booth, Brittany F. Lindsey, Abdulaziz Ahmed

CoRR, May, 2025

Assessing the Impact of External and Internal Factors on Emergency Department Overcrowding.

Abdulaziz Ahmed, Khalid Y. Aram, Mohammed Alzeen, Orhun Vural, James Booth, Brittany F. Lindsey, Bunyamin Ozaydin

CoRR, May, 2025

An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study.

Orhun Vural, Bunyamin Ozaydin, Khalid Y. Aram, James Booth, Brittany F. Lindsey, Abdulaziz Ahmed

CoRR, April, 2025

Large Language Models in Healthcare.

Mohammed Ali Al-Garadi, Tushar Mungle, Abdulaziz Ahmed, Abeed Sarker, Zhuqi Miao, Michael E. Matheny

CoRR, March, 2025

Leveraging Large Language Models to Enhance Machine Learning Interpretability and Predictive Performance: A Case Study on Emergency Department Returns for Mental Health Patients.

Abdulaziz Ahmed, Mohammad Saleem, Mohammed Alzeen, Badari Birur, Rachel E. Fargason, Bradley G. Burk, Hannah Rose Harkins, Ahmed Alhassan, Mohammed Ali Al-Garadi

CoRR, February, 2025

A stochastic programming approach for the scheduling of medical interpreting service under uncertainty.

Abdulaziz Ahmed, Aida Jebali

CoRR, January, 2025

2024

Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review.

Khushbu Khatri Park, Mohammad Saleem, Mohammed Ali Al-Garadi, Abdulaziz Ahmed

BMC Medical Informatics Decis. Mak., December, 2024

An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations.

Abdulaziz Ahmed, Mohammed Al-Maamari, Mohammad Firouz, Dursun Delen

Inf. Syst. Frontiers, October, 2024

A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring.

Yajun Lu, Thanh Duong, Zhuqi Miao, Thanh Thieu, Jivan Lamichhane, Abdulaziz Ahmed, Dursun Delen

J. Am. Medical Informatics Assoc., 2024

Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing.

Seung-Yup (Joshua) Lee, Mohammed Alzeen, Abdulaziz Ahmed

J. Am. Medical Informatics Assoc., 2024

What makes accidents severe! explainable analytics framework with parameter optimization.

Abdulaziz Ahmed, Kazim Topuz, Murad A. Moqbel, Ismail Abdulrashid

Eur. J. Oper. Res., 2024

2023

Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS).

Karen Konkel, Nurettin Oner, Abdulaziz Ahmed, S. Christopher Jones, Eta S. Berner, Ferhat D. Zengul

J. Am. Medical Informatics Assoc., December, 2023

An AI-based Decision Support System for Predicting Mental Health Disorders.

Salih Tutun, Marina E. Johnson, Abdulaziz Ahmed, Abdullah Albizri, Sedat Irgil, Ilker Yesilkaya, Esma Nur Ucar, Tanalp Sengun, Antoine Harfouche

Inf. Syst. Frontiers, June, 2023

Machine Learning Applications in Studying Mental Health Among Immigrants and Racial and Ethnic Minorities: A Systematic Review.

Khushbu Khatri Park, Abdulaziz Ahmed, Mohammed Ali Al-Garadi

CoRR, 2023

Evaluation of a COVID-19 Risk Tool.

Sue S. Feldman, Abdulaziz Ahmed, Justine F. Maxwell, Benjamin L. Schooley

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

A Practical and Empirical Comparison of Three Topic Modeling Methods Using a COVID-19 Corpus: LSA, LDA, and Top2Vec.

Ferhat D. Zengul, Aysegul Bulut, Nurettin Oner, Abdulaziz Ahmed, Manju Yadav, Hope G. Gray, Bunyamin Ozaydin

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

2022

Mitigating urinary incontinence condition using machine learning.

Haneen Ali, Abdulaziz Ahmed, Carlos Olivos, Khaled Khamis, Jia Liu

BMC Medical Informatics Decis. Mak., December, 2022

An integrated optimization and machine learning approach to predict the admission status of emergency patients.

Abdulaziz Ahmed, Omar Ashour, Haneen Ali, Mohammad Firouz

Expert Syst. Appl., 2022

A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework.

Abdulaziz Ahmed, Khalid Y. Aram, Salih Tutun

CoRR, 2022

An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients.

Abdulaziz Ahmed, Omar Ashour, Haneen Ali, Mohammad Firouz

CoRR, 2022

2021

A machine learning framework for predicting long-term graft survival after kidney transplantation.

Samarra Badrouchi, Abdulaziz Ahmed, Mohamed Mongi Bacha, Ezzedine Abderrahim, Taieb Ben Abdallah

Expert Syst. Appl., 2021