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)

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)

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 approach to predict the admission status of emergency patients. - Abdulaziz Ahmed; Omar Ashour; Haneen Ali; Mohammad Firouz (Expert Syst. Appl., 2022)

Mitigating urinary incontinence condition using machine learning. - Haneen Ali; Abdulaziz Ahmed; Carlos Olivos; Khaled Khamis; Jia Liu (BMC Medical Informatics Decis. Mak., 2022)

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 (HICSS, 2023)

Evaluation of a COVID-19 Risk Tool. - Sue S. Feldman; Abdulaziz Ahmed; Justine F. Maxwell; Benjamin L. Schooley (MedInfo, 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)

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, 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., 2023)

What makes accidents severe! explainable analytics framework with parameter optimization. - Abdulaziz Ahmed; Kazim Topuz; Murad A. Moqbel; Ismail Abdulrashid (Eur. J. Oper. Res., 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)

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)

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, 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., 2024)

A stochastic programming approach for the scheduling of medical interpreting service under uncertainty. - Abdulaziz Ahmed; Aida Jebali (CoRR, 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, 2025)

Large Language Models in Healthcare. - Mohammed Ali Al-Garadi; Tushar Mungle; Abdulaziz Ahmed; Abeed Sarker; Zhuqi Miao; Michael E. Matheny (CoRR, 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, 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, 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, 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, 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., 2025)