Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics

This systematic review aims to study and classify machine learning models that predict pandemics’ evolution within affected regions or countries. The advantage of this systematic review is that it allows the health authorities to decide what prediction model fits best depending upon the region’s cri...

Descripción completa

Detalles Bibliográficos
Autores principales: Palermo, Marcelo Benedeti, Policarpo, Lucas Micol, Costa, Cristiano André da, Righi, Rodrigo da Rosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553296/
https://www.ncbi.nlm.nih.gov/pubmed/36249862
http://dx.doi.org/10.1007/s13721-022-00384-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553296/
https://www.ncbi.nlm.nih.gov/pubmed/36249862
http://dx.doi.org/10.1007/s13721-022-00384-0

Ejemplares similares