Cough analysis app could detect COVID-19

Photo Credit: Charlotte May. Photo Sourced From: Pexels
Researchers at MIT have used machine learning to create software capable of detecting whether a person has caught COVID-19 by analyzing their cough, a development that could eventually result in an iPhone app for daily checks.
So far, the iPhone has lent itself to helping users determine if they are at risk of the coronavirus by coming into close proximity to someone carrying the virus. If a new discovery by MIT researchers is developed further, the iPhone may end up being able to do more to dampen the spread of the virus further.
A paper from the team published in the IEEE Journal of Engineering in Medicine and Biology claims an AI model was created that could tell the difference between asymptomatic people and those who are healthy, via analysis of recordings of forced coughs. The model is claimed to be accurate 98.5% of the time when listening to recordings of people confirmed to have had COVID-19, as well as 100 percent of asymptomatic cough recordings.
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Tammy Cuthbert Garcia
Tammy Cuthbert Garcia is an organic lifestyle entrepreneur, podcast host, radio show personality, health writer and spokesperson for health freedom. She began hosting “Naturally Inspired Podcast” in 2019 where she interviews top minds in lifestyle solutions and health freedom. She makes guest host appearances on AM/FM radio and also has a daily show called “Naturally Inspired Daily”.