Unsupervised learning for county-level typological classification for COVID-19 research

The analysis of county-level COVID-19 pandemic data faces computational and analytic challenges, particularly when considering the heterogeneity of data sources with variation in geographic, demographic, and socioeconomic factors between counties. This study presents a method to join relevant data f...

Descripción completa

Detalles Bibliográficos
Autores principales: Lai, Yuan, Charpignon, Marie-Laure, Ebner, Daniel K., Celi, Leo Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456591/
https://www.ncbi.nlm.nih.gov/pubmed/32995759
http://dx.doi.org/10.1016/j.ibmed.2020.100002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456591/
https://www.ncbi.nlm.nih.gov/pubmed/32995759
http://dx.doi.org/10.1016/j.ibmed.2020.100002

Ejemplares similares