International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science | Iraq | Volume 11 Issue 4, April 2022 | Rating: 5.1 / 10


Benchmarking Machine Learning Methods COVID-19 Classification using MCDM technique

Suad M. Shakor


Abstract: Different machine learning in the academic literature used to classify the COVID-19. The main question is which is the best method based on multi criteria evaluation. The benchmarking of COVID-19 machine learning methods, which is recognized as a multi-criteria decision making (MCDM) problem. In this paper we applied different machine learning methods on COIVD-19 to extract the decision matrix and applied TOPSIS to achieved the final rank and select the best machine learning. The result of this paper showing the Logistic Regression is the best method. Finally, this research presents many benefits, especially for hospitals and medical clinics with a view to speed up the diagnosis of patients suffering from COVID-19 using the best machine learning method.


Keywords: COVID-19, Machine learning, Multi-criteria decision making, MCDM


Edition: Volume 11 Issue 4, April 2022,


Pages: 678 - 681


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