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Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough. (arXiv:2201.01669v1 [eess.AS])
Jan. 6, 2022, 2:10 a.m. | Esin Darici, Nicholas Rasmussen, Jennifer Ranjani J., Jaclyn Xiao, Gunvant Chaudhari, Akanksha Rajput, Praveen Govindan, Minami Yamaura, Laura Gomezju
cs.LG updates on arXiv.org arxiv.org
The Covid-19 pandemic has been a scourge upon humanity, claiming the lives of
more than 5 million people worldwide. Although vaccines are being distributed
worldwide, there is an apparent need for affordable screening techniques to
serve parts of the world that do not have access to traditional medicine.
Artificial Intelligence can provide a solution utilizing cough sounds as the
primary screening mode. This paper presents multiple models that have achieved
relatively respectable perfor mance on the largest evaluation dataset currently …
arxiv classification covid covid-19 datasets deep learning learning
More from arxiv.org / cs.LG updates on arXiv.org
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