Artificial intelligence–based COVID-19 detection using cough records
Yükleniyor...
Dosyalar
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
İstanbul Üniversitesi Cerrahpaşa
Erişim Hakkı
info:eu-repo/semantics/openAccess
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.
Açıklama
Anahtar Kelimeler
COVID-19, Deep Learning, Cough Detection
Kaynak
Electrica
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
21
Sayı
2
