A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-Ray Images

• Published in: Computers, materials & continua Vol. 66; no. 3; pp. 3289 - 3310
• Main Authors: Abed Mohammed, Mazin, Hameed Abdulkareem, Karrar, Garcia-Zapirain, Begonya, A. Mostafa, Salama, S. Maashi, Mashael, S. Al-Waisy, Alaa, Ahmed Subhi, Mohammed, Awad Mutlag, Ammar, Le, Dac-Nhuong
• Format: Journal Article
• Language: English
• Published: Henderson Tech Science Press 2021
• Subjects: Accuracy; Artificial neural networks; Coronaviruses; COVID-19; Datasets; Decision trees; Deep learning; Feature extraction; Image classification; Learning theory; Machine learning; Medical imaging; Model accuracy; Public health; Radial basis function; Signs and symptoms; Support vector machines; Viral diseases

The quick spread of the Coronavirus Disease (COVID-19) infection around the world considered a real danger for global health. The biological structure and symptoms of COVID-19 are similar to other viral chest maladies, which makes it challenging and a big issue to improve approaches for efficient id...