Cargando…
CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Today, there is a level of panic and chaos dominating the entire world due to the massive outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms ranging from a simple fever to the inability to breathe, which may lead to death. One of these symptoms is a cough which is...
Autores principales: | Hemdan, Ezz El-Din, El-Shafai, Walid, Sayed, Amged |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803577/ https://www.ncbi.nlm.nih.gov/pubmed/35126765 http://dx.doi.org/10.1007/s12652-022-03732-0 |
Ejemplares similares
-
Integrating Digital Twins with IoT-Based Blockchain: Concept, Architecture, Challenges, and Future Scope
por: Hemdan, Ezz El-Din, et al.
Publicado: (2023) -
An efficient audio watermarking scheme with scrambled medical images for secure medical internet of things systems
por: Alshathri, Samah, et al.
Publicado: (2023) -
An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis
por: Sharaf, Marwa, et al.
Publicado: (2022) -
An efficient watermarking algorithm for digital audio data in security applications
por: Yamni, Mohamed, et al.
Publicado: (2023) -
Cough Audio Analysis for COVID-19 Diagnosis
por: Kapoor, Teghdeep, et al.
Publicado: (2022)