Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity dataset
Description
Since the beginning of the COVID-19 pandemic, many different machine learning models have been developed to detect and verify COVID-19 pneumonia based on chest X-ray images. Although promising, binary models have only limited implications for medical
