Cargando…
Feature Importance Analysis by Nowcasting Perspective to Predict COVID-19
The present work raises an investigation about prediction and the feature importance to estimate the COVID-19 infection, using Machine Learning approach. Our work analyzed the inclusion of climatic features, mobility, government actions and the number of cases per health sub-territory from an existi...
Autores principales: | Gonçalves, André Vinícius, de Araujo, Gustavo Medeiros, Garcia, Leandro Pereira, Amaral, Fernanda Vargas, Schneider, Ione Jayce Ceola |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033308/ http://dx.doi.org/10.1007/s11036-022-01966-y |
Ejemplares similares
-
What is the impact of national public expenditure and its allocation on neonatal and child mortality? A machine learning analysis
por: Garcia, Leandro Pereira, et al.
Publicado: (2023) -
TEMPORAL TRENDS IN THE DETECTION RATES OF HEPATITIS B IN THE SANTA
CATARINA STATE, BRAZIL
por: Marcon, Chaiana Esmeraldino Mendes, et al.
Publicado: (2014) -
Complete Tooth Loss and Allostatic Load Changes Later in Life: A 12-Year Follow-Up Analysis of the English Longitudinal Study of Ageing
por: de Oliveira, Cesar, et al.
Publicado: (2021) -
Vitamin D and inflammatory markers: cross-sectional analyses using data from the English Longitudinal Study of Ageing (ELSA)
por: de Oliveira, Cesar, et al.
Publicado: (2017) -
Trends in the Burden of Hepatitis B in a Southern Brazilian State
por: Marcon, Chaiana Esmeraldino Mendes, et al.
Publicado: (2015)