CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications

Author:

Hemdan Ezz El-Din,El-Shafai Walid,Sayed Amged

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference35 articles.

1. Alqudaihi K, Aslam N, Khan I (2021) Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities. IEEE Access 9:102327–102344

2. Andreu-Perez J, Perez-Espinosa H, Timonet E (2021) A generic deep learning based cough analysis system from clinically validated samples for point-of-need Covid-19 test and severity levels. IEEE Trans Serv Comput 2(9):1–13

3. Apostolopoulos I, Mpesiana T (2020a) Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med 43(2):635–640

4. Apostolopoulos I, Mpesiana T (2020b) Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med 6(1):1–19

5. Bagad P, Dalmia A, Doshi J, Nagrani A, Bhamare P, Mahale A, Panicker R (2020) Cough against COVID: evidence of COVID-19 signature in cough sounds. arXiv preprint https://arxiv.org/abs/2009.08790

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