Review on breathing pattern analysis for COVID-19 detection & diagnosis.

COVID-19 is a respiratory illness caused by the SARS-CoV-2 (Corona Virus), which first appeared in December of the year 2019. Covid-19 evolved from Corona Virus is a severe acute respiratory illness. Wuhan, Hubei, China and resulted in an ongoing pandemic. COVID-19, which was triggered by the SARS-CoV-2 virus, has rapid global dissemination, leading to worldwide flare ups. To lessen it's spread and safe communication it is necessary to develop speedy and contactless solutions in combat against it. The current gold standard for establishing its identification is RT-PCR Tests. This method of testing, however, is costly, time-consuming, and exceeds the social distance. Likewise, as pandemic is required to remain for some time, there is need for another analysis apparatus which beats these impediments, and is deployable at an enormous scope. The essential symptoms for this virus include cough and breathing challenges. Using AI and AI methods we can analyze respiratory sound which can give helpful insights, enabling the design of diagnostic tools. This survey uses AI based ML and DL approaches to offer a thorough overview of the COVID-19 diagnosis and therapy by analysing breathing patterns. [ABSTRACT FROM AUTHOR]