Machine learning algorithms incorporated into a smartphone application analyze people's voices to identify those in the early stages of Parkinson's disease (PD) or severe COVID-19 lung infections.
Researchers at Australia's Royal Melbourne Institute of Technology (RMIT) recorded on an iOS-based smartphone study participants uttering different phonemes that required sounds from the throat, the mouth, and the nose. then created and applied an algorithm to differentiate between persons with PD and healthy volunteers.
The algorithm could identify PD sufferers with 100% accuracy.
A different algorithm co-developed by RMIT researchers was able to phonemically differentiate patients with COVID-19 lung infections from healthy controls in Indonesia with 94% accuracy.
From IEEE Spectrum
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
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