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Artificial Intelligence in Health Predicting mortality in COVID-19 using ML

of the top-performing models: XGBoost, RF (precision: disease-covid-19 [Last accessed on 2023 Dec 13].
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97.71%, and runtime: 29.84745 s), MLPs (precision: 93.46%, Regulations (2005) Emergency Committee Regarding the
recall: 95.62%, F1-score: 90.76%, AUC-ROC: 97.29%, and Outbreak of Novel Coronavirus (2019-nCoV). World Health
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the ML models with the highest overall performance. 3. WHO Director-General’s Opening Remarks at the Media
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Acknowledgments Available from: https://www.who.int/director-general/

The authors wish to acknowledge the Health Informatics speeches/detail/who-director-general-s-opening-remarks-
at-the-media-briefing-on-covid-19---11-march-2020 [Last
Laboratory, Faculty of Nursing, National and Kapodistrian accessed on 2023 Dec .
18
University of Athens (Athens, Greece) for providing the
facilities needed for this research study. 4. WHO Coronavirus (COVID-19) Dashboard. WHO
Coronavirus (COVID-19) Dashboard With Vaccination
Funding Data. World Health Organization; 2023. Available from:
https://covid19.who.int [Last accessed on 2023 Dec 18].
None.
5. Naming the Coronavirus Disease (COVID-19) and the
Conflict of interest Virus that Causes it. World Health Organization; 2023.
Available from: https://www.who.int/emergencies/diseases/
The authors declare that they have no competing interests. novel-coronavirus-2019/technical-guidance/naming-the-
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Author contributions causes-it [Last accessed on 2023 Dec 18].
Conceptualization: Nikolaos Kourmpanis, John Mantas 6. Machhi J, Herskovitz J, Senan AM, et al. The natural history,
Investigation: Nikolaos Kourmpanis, Joseph Liaskos pathobiology, and clinical manifestations of SARS-CoV-2
Methodology: All authors infections. J Neuroimmune Pharmacol. 2020;15(3):359-386.
Writing – original draft: Nikolaos Kourmpanis doi: 10.1007/s11481-020-09944-5
Writing – review & editing: All authors
7. Zhou P, Yang XL, Wang XG, et al. Addendum: A pneumonia
Ethics approval and consent to participate outbreak associated with a new coronavirus of probable bat
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Not applicable.
doi: 10.1038/s41586-020-2951-z
Consent for publication 8. Hoffmann M, Kleine-Weber H, Schroeder S, et al. SARS-
CoV-2 cell entry depends on ACE2 and TMPRSS2 and
Not applicable. is blocked by a clinically proven protease inhibitor. Cell.
Availability of data 2020;181(2):271-280.e8.
doi: 10.1016/j.cell.2020.02.052
The dataset can be retrieved through a link provided by
the Government of Mexico (https://www.gob.mx/salud/ 9. Lednicky JA, Tagliamonte MS, White SK, et al. Independent
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Part of the findings has been presented in the 10. Vlasova AN, Diaz A, Damtie D, et al. Novel canine coronavirus
21 International Conference on Informatics, Management isolated from a hospitalized patient with pneumonia in east
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Volume 1 Issue 3 (2024) 50 doi: 10.36922/aih.2591