• Corpus ID: 245704454

Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough

@article{Darici2022UsingDL,
  title={Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough},
  author={Esin Darici and Nicholas Rasmussen and J. Jennifer Ranjani and Jaclyn Xiao and Gunvant R. Chaudhari and Akanksha Rajput and Praveen Govindan and Minami Yamaura and Laura Gomezjurado and Amil Khanzada and Mert Pilanci},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.01669}
}
—The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide. Even with the worldwide distribution of vaccines, there is an apparent need for affordable, reliable, and accessible screening techniques to serve parts of the World that do not have access to Western medicine. Artificial Intelligence can provide a solution utilizing cough sounds as a primary screening mode for COVID-19 diagnosis. This paper presents… 

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