Computer Artificial Intelligence program claims
83% to 100% success detecting Covid from sound of cough

https://techcrunch.com/2020/10/30/c...as-an-early-warning-system-for-covid-19/

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The model seems to have detected subtle patterns in vocal strength, sentiment, lung and respiratory performance, and muscular degradation, to the point where it was able to identify 100% of coughs by asymptomatic COVID-19 carriers and 98.5% of symptomatic ones, with a specificity of 83% and 94% respectively, meaning it doesn’t have large numbers of false positives or negatives.

“We think this shows that the way you produce sound, changes when you have COVID, even if you’re asymptomatic,” said Subirana of the surprising finding. However, he cautioned that although the system was good at detecting non-healthy coughs, it should not be used as a diagnosis tool for people with symptoms but unsure of the underlying cause.

I asked Subirana for a bit more clarity on this point.

“The tool is detecting features that allow it to discriminate the subjects that have COVID from the ones that don’t,” he wrote in an email. “Previous research has shown you can pick up other conditions too. One could design a system that would discriminate between many conditions but our focus was on picking out COVID from the rest.”

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