Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA

Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial and temporal scales, attributable to variations of socioeconomic and lifestyle risk factors. Understanding these variations in risk factors contributions to T2D would be of great benefit to interventio...

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Detalles Bibliográficos
Autores principales: Quiñones, Sarah, Goyal, Aditya, Ahmed, Zia U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997882/
https://www.ncbi.nlm.nih.gov/pubmed/33772039
http://dx.doi.org/10.1038/s41598-021-85381-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997882/
https://www.ncbi.nlm.nih.gov/pubmed/33772039
http://dx.doi.org/10.1038/s41598-021-85381-5

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