Artificial intelligence-based covid-19 detection using cough records

Gökcen A., Karadaǧ B., RİVA C., BOYACI A.

Electrica, cilt.21, sa.2, ss.203-208, 2021 (Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Sayı: 2
  • Basım Tarihi: 2021
  • Doi Numarası: 10.5152/electrica.2021.21005
  • Dergi Adı: Electrica
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.203-208
  • Anahtar Kelimeler: COVID-19, deep learning, cough detection
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

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.