COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods

arXiv:2404.02348v1 Announce Type: cross
Abstract: In 2019, the world faced a new challenge: a COVID-19 disease caused by the novel coronavirus, SARS-CoV-2. The virus rapidly spread across the globe, leading to a high rate of mortality, which prompted health organizations to take measures to control its transmission. Early disease detection is crucial in the treatment process, and computer-based automatic detection systems have been developed to aid in this effort. These systems often rely on artificial intelligence (AI) approaches such as …

abstract artificial artificial intelligence arxiv challenge control coronavirus covid covid-19 cs.cv detection disease eess.iv health intelligence mortality novel organizations parameters rate test type virus world