Cargando…
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing
Coronavirus (COVID-19) is a very contagious infection that has drawn the world’s attention. Modeling such diseases can be extremely valuable in predicting their effects. Although classic statistical modeling may provide adequate models, it may also fail to understand the data’s intricacy. An automat...
Autores principales: | Nasser, Nidal, Emad-ul-Haq, Qazi, Imran, Muhammad, Ali, Asmaa, Razzak, Imran, Al-Helali, Abdulaziz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431959/ https://www.ncbi.nlm.nih.gov/pubmed/34522068 http://dx.doi.org/10.1007/s00521-021-06396-7 |
Ejemplares similares
-
A cyber warfare perspective on risks related to health IoT devices and contact tracing
por: Bobbio, Andrea, et al.
Publicado: (2022) -
PA during the COVID-19 outbreak in China: a cross-sectional study
por: Nie, Yingjun, et al.
Publicado: (2021) -
Machine learning-based diffusion model for prediction of coronavirus-19 outbreak
por: Raheja, Supriya, et al.
Publicado: (2021) -
Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images
por: D’Angelo, Gianni, et al.
Publicado: (2021) -
Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning
por: Madhavan, Mangena Venu, et al.
Publicado: (2021)