The COVID-19 global pandemic emerged in 2019. With still very limited ways to diagnose COVID-19, three years later, there is still a need for diagnosis methods with no cost and no limitations in terms of accessibility. COVID-19 poses serious health risks to vulnerable populations specifically asthma suffers. The similarities between symptoms of COVID-19 and worsening asthma are so close that they are indistinguishable to the human ear. The study aims to address these issues with the use of Artificial Intelligence (AI), specifically Machine Learning (ML), and sound feature analysis to formulate a new potential diagnosis method and solution to the differentiation of COVID-19, asthma, and healthy individuals from healthy individuals.
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