Jameel R. Al-Obaidi

Orcid: 0000-0002-5705-0223

According to our database1, Jameel R. Al-Obaidi authored at least 10 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Computational analysis of structural and dynamic impacts of TP53 missense mutations in glioblastoma.
Netw. Model. Anal. Health Informatics Bioinform., December, 2026

Evaluating Vegetable Nutrition for Dental Health Maintenance Using an Orthopair Fuzzy Z-Number Decision-Making Model.
Cogn. Comput., December, 2026

2025
A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach.
Int. J. Comput. Intell. Syst., December, 2025

2024
Novel Federated Decision Making for Distribution of Anti-SARS-CoV-2 Monoclonal Antibody to Eligible High-Risk Patients.
Int. J. Inf. Technol. Decis. Mak., January, 2024

2022
Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods.
Appl. Intell., 2022

Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review.
Artif. Intell. Rev., 2022

2021
Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component.
Appl. Intell., 2021

2020
Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.
J. Medical Syst., 2020

Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods.
Int. J. Inf. Technol. Decis. Mak., 2020

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods.
Comput. Methods Programs Biomed., 2020


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