Cargando…
Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks
From May to July 2015, there was a nation-wide outbreak of Middle East respiratory syndrome (MERS) in Korea. MERS is caused by MERS-CoV, an enveloped, positive-sense, single-stranded RNA virus belonging to the family Coronaviridae. Despite expert opinions that the danger of MERS might be exaggerated...
Autores principales: | Choi, Sungwoon, Lee, Jangho, Kang, Min-Gyu, Min, Hyeyoung, Chang, Yoon-Seok, Yoon, Sungroh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7129462/ https://www.ncbi.nlm.nih.gov/pubmed/28813689 http://dx.doi.org/10.1016/j.ymeth.2017.07.027 |
Ejemplares similares
-
Nonlinear preprocessing method for detecting peaks from gas chromatograms
por: Shim, Byonghyo, et al.
Publicado: (2009) -
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks
por: Lee, Jangho, et al.
Publicado: (2022) -
Machine learning methods and systems for data-driven discovery in biomedical informatics
por: Yoon, Sungroh, et al.
Publicado: (2017) -
Understanding Thoracic Outlet Syndrome
por: Freischlag, Julie, et al.
Publicado: (2014) -
HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment
por: Lee, Taehoon, et al.
Publicado: (2018)