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COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods
April 4, 2024, 4:45 a.m. | Kavian Khanjani, Seyed Rasoul Hosseini, Shahrzad Shashaani, Mohammad Teshnehlab
cs.CV updates on arXiv.org arxiv.org
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
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