Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS methods

MA Mohammed, KH Abdulkareem, AS Al-Waisy… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods

AS Albahri, RA Hamid, OS Albahri… - Artificial intelligence in …, 2021 - Elsevier
Context and background Corona virus (COVID) has rapidly gained a foothold and caused a
global pandemic. Particularists try their best to tackle this global crisis. New challenges …

Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID‐19 Diagnostic Model

MA Mohammed, B Al-Khateeb, M Yousif… - Computational …, 2022 - Wiley Online Library
Due to the COVID‐19 pandemic, computerized COVID‐19 diagnosis studies are
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …

A model for the effective COVID-19 identification in uncertainty environment using primary symptoms and CT scans

M Abdel-Basst, R Mohamed… - Health Informatics …, 2020 - journals.sagepub.com
The rapid spread of the COVID-19 virus around the world poses a real threat to public safety.
Some COVID-19 symptoms are similar to other viral chest diseases, which makes it …

Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review

H Swapnarekha, HS Behera, J Nayak, B Naik - Chaos, Solitons & Fractals, 2020 - Elsevier
Abstract The World Health Organization (WHO) declared novel coronavirus 2019 (COVID-
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …

[HTML][HTML] Intelligent system for COVID-19 prognosis: A state-of-the-art survey

J Nayak, B Naik, P Dinesh, K Vakula, BK Rao… - Applied …, 2021 - Springer
This 21st century is notable for experiencing so many disturbances at economic, social,
cultural, and political levels in the entire world. The outbreak of novel corona virus 2019 …

A methodological approach for predicting COVID-19 epidemic using EEMD-ANN hybrid model

N Hasan - Internet of things, 2020 - Elsevier
Predicting the Coronavirus epidemic, popularly known as COVID-19, that has been explored
more than 200 countries and already declared as a pandemic by the World Health …

[HTML][HTML] A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence

K Chadaga, S Prabhu, V Bhat, N Sampathila… - Bioengineering, 2023 - mdpi.com
The coronavirus pandemic emerged in early 2020 and turned out to be deadly, killing a vast
number of people all around the world. Fortunately, vaccines have been discovered, and …

[HTML][HTML] Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review

MA Alsalem, AH Alamoodi, OS Albahri… - Artificial Intelligence …, 2022 - Springer
The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives
and has a remarkable effect on global health care delivery occurs amongst the ongoing …

[HTML][HTML] An innovative ensemble model based on deep learning for predicting COVID-19 infection

X Su, Y Sun, H Liu, Q Lang, Y Zhang, J Zhang… - Scientific Reports, 2023 - nature.com
Nowadays, global public health crises are occurring more frequently, and accurate
prediction of these diseases can reduce the burden on the healthcare system. Taking …