Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee
Guardado en:
Autores principales: | Jamieson D Gray, Coleman R Harris, Lukasz S Wylezinski, Cody N Heiser, Charles F Spurlock |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5b37fb6cbd5942d1993568601a78fe8a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
por: J. L. Lee, et al.
Publicado: (2021) -
New machine learning model predicts who may benefit most from COVID-19 vaccination
por: Leia Wedlund, et al.
Publicado: (2021) -
Wearable radio-frequency sensing of respiratory rate, respiratory volume, and heart rate
por: Pragya Sharma, et al.
Publicado: (2020) -
Vaccine advertising: preach to the converted or to the unaware?
por: Masha Krupenkin, et al.
Publicado: (2021) -
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
por: Elisa Mejía-Mejía, et al.
Publicado: (2021)