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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.

O. Albahri, J. Al-Obaidi, A. Zaidan, A. Albahri, B. Zaidan, M. Salih, A. Qays, K. Dawood, R. Mohammed, K. Abdulkareem, A. Aleesa, A. Alamoodi, M. Chyad, and C. Zulkifli. Comput. Methods Programs Biomed., (2020)

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Carel Karrar

Elmar Karrar

Abdulkareem Alzahrani

Kashif Hameed

Umer Hameed

Other publications of authors with the same name

MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management.A. Mutlag, M. Ghani, M. Mohammed, M. Maashi, O. Mohd, S. Mostafa, K. Abdulkareem, G. Marques, and I. de la Torre Díez. Sensors, 20 (7): 1853 (2020)Adaptive Deep Learning Detection Model for Multi- Foggy Images.Z. Arif, M. Mahmoud, K. Abdulkareem, S. Kadry, M. Mohammed, M. Al-Mhiqani, A. Al-Waisy, and J. Nedoma. Int. J. Interact. Multim. Artif. Intell., 7 (7): 26 (2022)A Multi-agent Feature Selection and Hybrid Classification Model for Parkinson's Disease Diagnosis.M. Mohammed, M. Elhoseny, K. Abdulkareem, S. Mostafa, and M. Maashi. ACM Trans. Multim. Comput. Commun. Appl., 17 (2s): 74:1-74:22 (2021)EEG Channel Selection Using Multiobjective Cuckoo Search for Person Identification as Protection System in Healthcare Applications.Z. Alyasseri, O. Alomari, M. Al-Betar, M. Awadallah, K. Abdulkareem, M. Mohammed, S. Kadry, V. Rajinikanth, and S. Rho. Comput. Intell. Neurosci., (2022)Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques.Z. Arif, M. Mahmoud, K. Abdulkareem, M. Mohammed, M. Al-Mhiqani, A. Mutlag, and R. Damasevicius. IET Image Process., 16 (2): 289-310 (2022)Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors.O. Albahri, A. Albahri, A. Zaidan, B. Zaidan, M. Alsalem, A. Mohsin, K. Mohammed, A. Alamoodi, S. Nidhal, O. Enaizan and 8 other author(s). IEEE Access, (2019)Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods.M. Mohammed, K. Abdulkareem, A. Al-Waisy, S. Mostafa, S. Al-Fahdawi, A. Dinar, W. Alhakami, A. Baz, M. Al-Mhiqani, H. Alhakami and 5 other author(s). IEEE Access, (2020)A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods.K. Abdulkareem, N. Arbaiy, A. Zaidan, B. Zaidan, O. Albahri, M. Alsalem, and M. Salih. Neural Comput. Appl., 33 (4): 1029-1054 (2021)Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment.K. Abdulkareem, M. Mohammed, A. Salim, M. Arif, O. Geman, D. Gupta, and A. Khanna. IEEE Internet Things J., 8 (21): 15919-15928 (2021)Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.Z. Alyasseri, M. Al-Betar, I. Doush, M. Awadallah, A. Abasi, S. Makhadmeh, O. Alomari, K. Abdulkareem, A. Adam, R. Damasevicius and 2 other author(s). Expert Syst. J. Knowl. Eng., (2022)

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Disambiguation of "Abdulkareem, Karrar Hameed"