Cargando…
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
While the world has experience with many different types of infectious diseases, the current crisis related to the spread of COVID-19 has challenged epidemiologists and public health experts alike, leading to a rapid search for, and development of, new and innovative solutions to combat its spread....
Autores principales: | Rasheed, Jawad, Jamil, Akhtar, Hameed, Alaa Ali, Aftab, Usman, Aftab, Javaria, Shah, Syed Attique, Draheim, Dirk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547637/ https://www.ncbi.nlm.nih.gov/pubmed/33071481 http://dx.doi.org/10.1016/j.chaos.2020.110337 |
Ejemplares similares
-
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
por: Rasheed, Jawad, et al.
Publicado: (2021) -
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
por: Rasheed, Jawad, et al.
Publicado: (2021) -
Data Empowerment of Decision-Makers in an Era of a Pandemic: Intersection of “Classic” and Artificial Intelligence in the Service of Medicine
por: Geva, Gil A, et al.
Publicado: (2021) -
A Decision Support System for Face Sketch Synthesis Using Deep Learning and Artificial Intelligence
por: Azhar, Irfan, et al.
Publicado: (2021) -
Cybersecurity and Decision Makers
por: De Fréminville, Marie
Publicado: (2020)