Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods

Abed Mohammed, Mazin; Hameed Abdulkareem, Karrar; S. Al‐Waisy, Alaa; A. Mostafa, Salama; Al-Fahdawi, Shumoos; M. Dinar, Ahmed; Alhakami, Wajdi; Baz, Abdullah; Nasser Al‐Mhiqani, Mohammed; Alhakami, Hosam; Arbaiy, Nureize; Maashi, Mashael; Awad Mutlag, Ammar; García-Zapirain, Begonya; de la Torre Díez, Isabel

doi:10.1109/access.2020.2995597

Public

Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods

Published in IEEE Access • Jan 1, 2020

Authors:

Mazin Abed Mohammed

Karrar Hameed Abdulkareem

Alaa S. Al‐Waisy

Abstract

Nowadays, coronavirus (COVID-19) is getting international attention due it considered as a life-threatened epidemic disease that hard to control the spread of infection around the world. Machine learning (ML) is one of intelligent technique that able to automatically predict the event with reasonabl...

Subject

Benchmarking

TOPSIS

Computer science

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!