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Novel Federated Decision Making for Distribution of Anti-SARS-CoV-2 Monoclonal Antibody to Eligible High-Risk Patients.

, , , , , , , , , , , , , , , , and . Int. J. Inf. Technol. Decis. Mak., 23 (1): 197-268 (January 2024)

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Novel Federated Decision Making for Distribution of Anti-SARS-CoV-2 Monoclonal Antibody to Eligible High-Risk Patients., , , , , , , , , and 7 other author(s). Int. J. Inf. Technol. Decis. Mak., 23 (1): 197-268 (January 2024)Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods., , , , , , , , and . Appl. Intell., 52 (9): 9676-9700 (2022)Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods., , , , , , , and . Int. J. Inf. Technol. Decis. Mak., 19 (5): 1247-1269 (2020)Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review., , , , , , , , , and 6 other author(s). J. Medical Syst., 44 (7): 122 (2020)Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component., , , , , , , , and . Appl. Intell., 51 (5): 2956-2987 (2021)Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review., , , , , , , , , and 1 other author(s). Artif. Intell. Rev., 55 (6): 4979-5062 (2022)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., , , , , , , , , and 4 other author(s). Comput. Methods Programs Biomed., (2020)