Identifying and assessing the impact of key neighborhood-level determinants on geographic variation in stroke: a machine learning and multilevel modeling approach

BACKGROUND: Stroke is a chronic cardiovascular disease that puts major stresses on U.S. health and economy. The prevalence of stroke exhibits a strong geographical pattern at the state-level, where a cluster of southern states with a substantially higher prevalence of stroke has been called the stro...

Descripción completa

Detalles Bibliográficos
Autores principales: Ji, Jiayi, Hu, Liangyuan, Liu, Bian, Li, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648288/
https://www.ncbi.nlm.nih.gov/pubmed/33160324
http://dx.doi.org/10.1186/s12889-020-09766-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648288/
https://www.ncbi.nlm.nih.gov/pubmed/33160324
http://dx.doi.org/10.1186/s12889-020-09766-3

Ejemplares similares