Operational Research and Integrated Artificial Intelligence in Healthcare
Source: https://www.sharjah.ac.ae/en/Research/RIMHS/ORIA Parent: https://www.sharjah.ac.ae/en/Research/RIMHS
-
Overview
-
Goals and Objectives
-
Our Team
-
Lines of Research
-
Publications
-
Collaborations
Operational research is an analytical method of problem-solving and decision-making useful across all fields, including medicine. It allows for breaking down the essential components of problems followed by mathematical analysis of the defined steps. On the other hand, Artificial Intelligence can ease the lives of patients, doctors, and hospital administration. Artificial intelligence has countless applications in healthcare. Whether it is being used to discover links between genetic codes, to power surgical robots, or even to maximize hospital efficiency, artificial intelligence has been a boon to the healthcare industry. The advent of big data has made possible the use of big data to create information necessary to improve the decision-making processes of healthcare challenges. With the constant need to solve complex problems, operational research and artificial intelligence have proven consistent in creating implementable solutions to these challenges. Our research group will be geared towards solving critical healthcare challenges by applying artificial intelligence and Decision Analysis to diseases diagnosis, therapeutics, treatment error reduction, disease treatment and management, automation of medical processes, symptoms checker, early cancer detection, and medical service delivery. The group's research is centered on utilizing multidisciplinary studies (mathematics, computer science, public health, biomedical engineering, and medicine) to address the development of a high-performance medical data collection system and artificial intelligence to aid in the effective quantitative modeling and the application of the advanced analytical approach to enhance decision-making targeting essentially all health sectors and utilizing multi-criteria models.
Our objective is to achieve our goals by assembling a team of exceptionally skilled researchers possessing extensive expertise in mathematical modeling, artificial intelligence, and decision analysis. Our team will focus on applying these interdisciplinary approaches to advance drug design and discovery, address rare diseases, enhance radiology and medical imaging techniques, optimize nutrition practices, and develop innovative methods for drug-resistant bacteria detection.
Dr. Dilber Uzun Ozsahin
Research Group Coordinator
Prof. Abbes Amira
Research Group Member
Prof. Mohamad Alameddine
Research Group Memebr
Prof. Bashar Issa
Research Group Member
Mohammed Mahmoud Abuzaid
Research Group Memebr
Prof. Munis Dundar
Research Group Member
Load More
- Early detection of diseases.
- Prediction of diseases using medical imaging and numerical dataset.
- Pneumonia and COVID-19 detection using chest x-ray.
- Early detection of cardiovascular disease using machine learning.
- Enhancing appropriate selection of treatment alternatives for rare disease.
- Drug design and discovery using AI and operational research .
- Application of Mathematics in Health science
- Applied Physics
Research Publications
No Record Found
- Environmental modelling of CO concentration using AI-based approach supported with filters feature extraction: a direct and inverse chemometrics-based simulation, AG Usman, N Usanase, SI Abba, I Ozsahin, B Uzun, MA Yassin, Sustainable Chemistry for the Environment, 100011
- Comparative analysis of new approximate analytical method and Mohand variational transform method for the solution of wave-like equations with variable coefficients, H Ahmad, DU Ozsahin, U Farooq, MA Fahmy, MD Albalwi, Results in Physics, 106623
- Accelerating SARS-CoV-2 Vaccine Development: Leveraging Novel Hybrid Deep Learning Models and Bioinformatics Analysis for Epitope Selection and Classification, ZS Ameen, H Mostafa, DU Ozsahin, AS Mubarak, Processes 11 (6), 1829
- Different solitary wave solutions and bilinear form for modified mixed-KDV equation, AR Butt, N Raza, H Ahmad, DU Ozsahin, F Tchier, Optik, 171031
- New diverse exact optical solutions of the three dimensional Zakharov–Kuznetsov equation, EHM Zahran, RA Ibrahim, DU Ozsahin, H Ahmad, MSM Shehata, Optical and Quantum Electronics 55 (9), 817
- Prediction of Cell Migration in MDA-MB 231 and MCF-7 Human Breast Cancer Cells Treated with Albizia Lebbeck Methanolic Extract Using Multilinear Regression, H Umar, N Rizaner, AG Usman, MR Aliyu, H Adun, UM Ghali, Dilber Uzun Ozsahin, Sani Isah Abba, Pharmaceuticals 16 (6)
- Development of a Novel Multi-Modal Contextual Fusion Model for Early Detection of Varicella Zoster Virus Skin Lesions in Human Subjects, MDC Eze, LE Vafaei, CT Eze, T Tursoy, DU Ozsahin, MT Mustapha, Processes 11 (8), 2268
- New impressive performances for the analytical solutions to the (1+ 1)-dimensional van der-waals gas system against its numerical solutions EHM Zahran, H Ahmad, S Askar, DU Ozsahin, Results in Physics 51, 106667
- Isomorphic shut form valuation for quantum field theory and biological population models, MSM Shehata, H Ahmad, EHM Zahran, S Askar, DU Ozsahin, Open Physics 21 (1), 20220252
- Juxtaposing Sub-Sahara Africa's energy poverty and renewable energy potential, M Mukhtar, H Adun, D Cai, S Obiora, M Taiwo, T Ni, DU Ozsahin, Scientific Reports 13 (1), 11643
- Computation of stagnation coating flow of electro-conductive ternary Williamson hybrid nanofluid with a Cattaneo–Christov heat flux model and KBS Latha, MG Reddy, D Tripathi, OA Bég, S Kuharat, H Ahmad, DU Ozsahin, Scientific Reports 13 (1), 10972
- A Multi-Criteria Decision Aid Tool for Radiopharmaceutical Selection in Tau PET Imaging, I Ozsahin, EP Onakpojeruo, B Uzun, D Uzun Ozsahin, TA Butler, Pharmaceutics 15 (4), 1304
- COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach, D Uzun Ozsahin, E Precious Onakpojeruo, B Bartholomew Duwa, Abdullahi Garba Usman, Sani Isah Abba, Berna Uzun Diagnostics 13 (7), 1264
- Systematic Review on Diagnostic Reference Levels for Computed Tomography Examinations in Radiation Therapy Planning, Shreekripa Rao, Krishna Sharan, Suresh Sukumar, Srinidhi Gururajarao Chandraguthi, Rechal Nisha Dsouza, Leena R David, Sneha Ravichandran, Berna Uzun, Rajagopal Kadavigere, Dilber Uzun Ozsahin, Diagnostics 13 (6), 1072
- Developing diagnostic reference levels for CT examinations in Addis Ababa, Ethiopia, JE Dawd, D Uzun Ozsahin, I Ozsahin, Radiation Protection Dosimetry 199 (3), 235-245
- Mathematical Assessment of Machine Learning Models Used for Brain Tumor Diagnosis D Uzun Ozsahin, EP Onakpojeruo, B Uzun, MT Mustapha, I Ozsahin, Diagnostics 13 (4), 618
- Mapping of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia, SI Abba, M Benaafi, AG Usman, DU Ozsahin, B Tawabini, IH Aljundi, Science of The Total Environment, 159697
- Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning Framework, D Uzun Ozsahin, MT Mustapha, B Uzun, B Duwa, I Ozsahin, Diagnostics 13 (2), 292
- Numerical simulations of time-fractional PDEs arising in mathematics and physics using the local meshless differential quadrature method, B Almutairi, I Ahmad, B Almohsen, H Ahmad, DU Ozsahin, Thermal Science 27 (Spec. issue 1), 263-272
- An Alternative Diagnostic Method for C. neoformans: Preliminary Results of Deep-Learning Based Detection Model, A Seyer Cagatan, M Taiwo Mustapha, C Bagkur, T Sanlidag, DU Ozsahin, Diagnostics 13 (1), 81
- The Systematic Review of Artificial Intelligence Applications in Breast Cancer Diagnosis, D Uzun Ozsahin, D Ikechukwu Emegano, B Uzun, I Ozsahin, Diagnostics 13 (1), 45
- Clinical Modelling of RVHF Using Pre-Operative Variables: A Direct and Inverse Feature Extraction Technique, Dilber Uzun Ozsahin, Ozlem Balcioglu, Abdullahi Garba Usman, Declan Ikechukwu Emegano, Berna Uzun, Sani Isah Abba, Ilker Ozsahin, Tahir Yagdi, Cagatay Engin, Diagnostics 12 (12), 3061
- The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis, DU Ozsahin, NA Isa, B Uzun, Diagnostics 12 (12), 2943
- Applicability of American College of Radiology Appropriateness Criteria Decision-Making Model for Acute Appendicitis Diagnosis in Children, O Tuncyurek, K Kadam, B Uzun, D Uzun Ozsahin, Diagnostics 12 (12), 2915
- Diagnostic AI and Cardiac Diseases, D Uzun Ozsahin, C Ozgocmen, O Balcioglu, I Ozsahin, B Uzun, Diagnostics 12 (12), 2901
- Fuzzy-Based PROMETHEE Method for Performance Ranking of SARS-CoV-2 IgM Antibody Tests, A Arikan, T Sanlidag, M Sayan, B Uzun, D Uzun Ozsahin, Diagnostics 12 (11), 2830
- Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood Smears D Uzun Ozsahin, MT Mustapha, B Bartholomew Duwa, I Ozsahin, Diagnostics 12 (11), 2702
- A decision-making model for treatment alternatives of different clinical abdominal aortic aneurysm presentations, O Balcioglu, U Ozad, B Uzun, I Ozsahin, DU Ozsahin, IEEE xplore
- Selection of photodetectors in nuclear medical imaging using MCDM methods I Ozsahin, B Uzun, DU Ozsahin, Journal of Instrumentation 17 (06), C06003
- Impact of Outliers and Dimensionality Reduction on the Performance of Predictive Models for Medical Disease Diagnosis, DU Ozsahin, MT Mustapha, AS Mubarak, ZS Ameen, B Uzun, 2022 IEEE xplore\ \ \ \