Cough audio signal classification has been successfully used to diagnose a variety of
respiratory conditions, and there has been significant interest in leveraging Machine …

Rapid and affordable methods of testing for COVID-19 infections are essential to reduce
infection rates and prevent medical facilities from becoming overwhelmed. Current …

Goal: We hypothesized that COVID-19 subjects, especially including asymptomatics, could
be accurately discriminated only from a forced-cough cell phone recording using Artificial …

The usage of smartphone-collected respiratory sound, trained with deep learning models,
for detecting and classifying COVID-19 becomes popular recently. It removes the need for in …

In an attempt to reduce the infection rate of the COrona VIrus Disease-19 (Covid-19)
countries around the world have echoed the exigency for an economical, accessible, point …

We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …

The prevalence of ubiquitous computing enables new opportunities for lung health
monitoring and assessment. In the past few years, there have been extensive studies on …

For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

Background The inability to test at scale has become humanity's Achille's heel in the
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …

This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …