Cargando…
A review on COVID-19 forecasting models
The novel coronavirus (COVID-19) has spread to more than 200 countries worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such, several machine learning models that can forecast the outbreak globally have been released. This work presents a review and brief analysi...
Autores principales: | Rahimi, Iman, Chen, Fang, Gandomi, Amir H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861008/ https://www.ncbi.nlm.nih.gov/pubmed/33564213 http://dx.doi.org/10.1007/s00521-020-05626-8 |
Ejemplares similares
-
Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks
por: Dev, Kapal, et al.
Publicado: (2021) -
ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India
por: Kumar, Rajagopal, et al.
Publicado: (2021) -
Building fuzzy time series model from unsupervised learning technique and genetic algorithm
por: Phamtoan, Dinh, et al.
Publicado: (2021) -
BiLSTM and dynamic fuzzy AHP-GA method for procedural game level generation
por: İnce, Murat
Publicado: (2021) -
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method
por: Li, Simin, et al.
Publicado: (2021)