Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review

Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review

<p>COVID-19 caused by the transmission of SARS-CoV-2 virus taking a huge toll on global health and caused life-threatening medical complications and elevated mortality rates, especially among older adults and people with existing morbidity. Current evidence suggests that the virus spreads prim...

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Bibliographic Details
Main Author: Omer Sadak (6169733) (author)
Other Authors: Ferhat Sadak (16904730) (author), Ozal Yildirim (16904733) (author), Nicole M. Iverson (4835907) (author), Rizwan Qureshi (15279193) (author), Muhammed Talo (16904736) (author), Chui Ping Ooi (16904739) (author), U. Rajendra Acharya (5909246) (author), Sundaram Gunasekaran (1473790) (author), Tanvir Alam (638619) (author)
Published: 2022
Subjects:
Engineering
Biomedical engineering
Information and computing sciences
Machine learning
COVID-19
Biosensors
Viruses (medical)
Costs
Deep learning
RNA
Pandemics
Electrochemical devices
SARS-CoV-2
PCR
Electrochemical biosensor
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