Cargando…
Application of Elastic Net Regression for Modeling COVID-19 Sociodemographic Risk Factors
OBJECTIVES: COVID-19 has been at the forefront of global concern since its emergence in December of 2019. Determining the social factors that drive case incidence is paramount to mitigating disease spread. We gathered data from the Social Vulnerability Index (SVI) along with Democratic voting percen...
Autores principales: | Moxley, Tristan A., Johnson-Leung, Jennifer, Seamon, Erich, Williams, Christopher, Ridenhour, Benjamin J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882619/ https://www.ncbi.nlm.nih.gov/pubmed/36711957 http://dx.doi.org/10.1101/2023.01.19.23284288 |
Ejemplares similares
-
Spatiotemporal Impacts of Ideology and Social Vulnerability on COVID-19 for the United States
por: Seamon, Erich, et al.
Publicado: (2023) -
GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization
por: Khan, Christopher, et al.
Publicado: (2020) -
Effects of trust, risk perception, and health behavior on COVID-19 disease burden: Evidence from a multi-state US survey
por: Ridenhour, Benjamin J., et al.
Publicado: (2022) -
Adaptive group-regularized logistic elastic net regression
por: Münch, Magnus M, et al.
Publicado: (2019) -
Data integration by multi-tuning parameter elastic net regression
por: Liu, Jie, et al.
Publicado: (2018)