ELECTRICA
RESEARCH ARTICLE

Artificial Intelligence–Based COVID-19 Detection Using Cough Records

1.

Department of Computer Engineering, İstanbul Commerce University, İstanbul, Turkey

2.

Department of Electrical Electronics Engineering, İstanbul Commerce University, İstanbul, Turkey

ELECTRICA 2021; 21: 203-208
DOI: 10.5152/electrica.2021.21005
Read: 375 Downloads: 69 Published: 27 May 2021

In 2019, with the emergence of coronavirus disease 2019 (COVID-19) and its spread all over the world, many people were directly affected by the pandemic. As its spread increases, it is difficult to diagnose who is actually infected. In addition to continuing vaccination studies, some technological solutions are being used to try to control the virus. One of these technological solutions is presented in this study. The disease is detected using cough data through artificial intelligence (AI). To do this, an open source data set was used from the opensigma.mit.edu website. More than 20,000 cough records representing age, gender, geographic location, and COVID-19 status are available from this site. The AI model trained on cough detection achieved 79% COVID-19 accuracy with an F1 of 80%. With the designed AI-based mobile application, COVID-19 can be detected and monitored.

Cite this article as: A. Gökcen, B. Karadağ, C. Riva, A. Boyacı, “Artificial Intelligence–Based COVID-19 Detection Using Cough Records”, Electrica, vol. 21, no. 2, pp. 203-208, May, 2021.

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EISSN 2619-9831