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ORCIDAbdulaziz Ahmed
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2020 – today
- 2024
[j10]Abdulaziz Ahmed, Kazim Topuz
, Murad A. Moqbel, Ismail Abdulrashid:
What makes accidents severe! explainable analytics framework with parameter optimization. Eur. J. Oper. Res. 317(2): 425-436 (2024)- [j9]Abdulaziz Ahmed, Mohammed Al-Maamari, Mohammad Firouz, Dursun Delen:
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations. Inf. Syst. Frontiers 26(5): 1893-1913 (2024) - [j8]Seung-Yup (Joshua) Lee, Mohammed Alzeen, Abdulaziz Ahmed:
Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing. J. Am. Medical Informatics Assoc. 31(4): 958-967 (2024) - [j7]Yajun Lu, Thanh Duong, Zhuqi Miao, Thanh Thieu, Jivan Lamichhane, Abdulaziz Ahmed, Dursun Delen:
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring. J. Am. Medical Informatics Assoc. 31(8): 1763-1773 (2024) - [j6]Khushbu Khatri Park, Mohammad Saleem, Mohammed Ali Al-Garadi, Abdulaziz Ahmed:
Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review. BMC Medical Informatics Decis. Mak. 24(1): 298 (2024) - 2023
- [j5]Salih Tutun, Marina E. Johnson, Abdulaziz Ahmed, Abdullah Albizri, Sedat Irgil, Ilker Yesilkaya, Esma Nur Ucar, Tanalp Sengun, Antoine Harfouche:
An AI-based Decision Support System for Predicting Mental Health Disorders. Inf. Syst. Frontiers 25(3): 1261-1276 (2023) - [j4]Karen Konkel, Nurettin Oner, Abdulaziz Ahmed, S. Christopher Jones, Eta S. Berner, Ferhat D. Zengul:
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). J. Am. Medical Informatics Assoc. 31(1): 70-78 (2023) - [c2]Ferhat D. Zengul, Aysegul Bulut, Nurettin Oner, Abdulaziz Ahmed, Manju Yadav, Hope G. Gray, Bunyamin Ozaydin:
A Practical and Empirical Comparison of Three Topic Modeling Methods Using a COVID-19 Corpus: LSA, LDA, and Top2Vec. HICSS 2023: 930-939 - [c1]Sue S. Feldman, Abdulaziz Ahmed, Justine F. Maxwell, Benjamin L. Schooley:
Evaluation of a COVID-19 Risk Tool. MedInfo 2023: 1552-1553 - [i4]Khushbu Khatri Park, Abdulaziz Ahmed, Mohammed Ali Al-Garadi:
Machine Learning Applications in Studying Mental Health Among Immigrants and Racial and Ethnic Minorities: A Systematic Review. CoRR abs/2304.09233 (2023) - 2022
- [j3]Abdulaziz Ahmed, Omar Ashour, Haneen Ali, Mohammad Firouz:
An integrated optimization and machine learning approach to predict the admission status of emergency patients. Expert Syst. Appl. 202: 117314 (2022) - [j2]Haneen Ali, Abdulaziz Ahmed, Carlos Olivos, Khaled Khamis, Jia Liu:
Mitigating urinary incontinence condition using machine learning. BMC Medical Informatics Decis. Mak. 22(1): 243 (2022) - [i3]Abdulaziz Ahmed, Omar Ashour, Haneen Ali, Mohammad Firouz:
An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients. CoRR abs/2202.09196 (2022) - [i2]Abdulaziz Ahmed, Khalid Y. Aram, Salih Tutun:
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework. CoRR abs/2212.11879 (2022) - [i1]Abdulaziz Ahmed, Mohammed Al-Maamari, Mohammad Firouz, Dursun Delen:
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations. CoRR abs/2212.11892 (2022) - 2021
- [j1]Samarra Badrouchi, Abdulaziz Ahmed, Mohamed Mongi Bacha, Ezzedine Abderrahim, Taieb Ben Abdallah:
A machine learning framework for predicting long-term graft survival after kidney transplantation. Expert Syst. Appl. 182: 115235 (2021)
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