Cargando…
The Large Scale Machine Learning in an Artificial Society: Prediction of the Ebola Outbreak in Beijing
Ebola virus disease (EVD) distinguishes its feature as high infectivity and mortality. Thus, it is urgent for governments to draw up emergency plans against Ebola. However, it is hard to predict the possible epidemic situations in practice. Luckily, in recent years, computational experiments based o...
Autores principales: | Zhang, Peng, Chen, Bin, Ma, Liang, Li, Zhen, Song, Zhichao, Duan, Wei, Qiu, Xiaogang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592709/ https://www.ncbi.nlm.nih.gov/pubmed/26457078 http://dx.doi.org/10.1155/2015/531650 |
Ejemplares similares
-
Artificial Intelligence, Machine Learning, and Big Data for Ebola Virus Drug Discovery
por: Kwofie, Samuel K., et al.
Publicado: (2023) -
Potential for large outbreaks of Ebola virus disease
por: Camacho, A., et al.
Publicado: (2014) -
Learning from Ebola: readiness for outbreaks and emergencies
por: Chan, Margaret
Publicado: (2015) -
Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study
por: Forna, Alpha, et al.
Publicado: (2021) -
Knowledge Graph: Applications in Tracing the Source of Large-Scale Outbreak — Beijing Municipality, China, 2020–2021
por: Shen, Ying, et al.
Publicado: (2023)