Cargando…
Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network
This study presents the main motivation to investigate the COVID-19 pandemic, a major threat to the whole world from the day when it first emerged in China city of Wuhan. Predictions on the number of cases of COVID-19 are crucial in order to prevent and control the outbreak. In this research study,...
Autores principales: | Ahmad, Iftikhar, Muhammad Asad, Syed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533481/ https://www.ncbi.nlm.nih.gov/pubmed/32951626 http://dx.doi.org/10.1017/S0950268820002174 |
Ejemplares similares
-
Risk Prediction by Using Artificial Neural Network in Global Software Development
por: Iftikhar, Asim, et al.
Publicado: (2021) -
Pancreatic Cancer Prediction Through an Artificial Neural Network
por: Muhammad, Wazir, et al.
Publicado: (2019) -
Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control
por: Cheema, Tahir Nawaz, et al.
Publicado: (2020) -
Coronavirus Disease 2019 (COVID-19): Forecast of an Emerging Urgency in Pakistan
por: Chaudhry, Rabia M, et al.
Publicado: (2020) -
The Prediction of the Risk Level of Pulmonary Embolism and Deep Vein Thrombosis through Artificial Neural Network
por: Agharezaei, Laleh, et al.
Publicado: (2016)