Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of patients with COVID-19 over time: a large population-based cohort study in Mexico

OBJECTIVE: COVID-19 would kill fewer people if health programmes can predict who is at higher risk of mortality because resources can be targeted to protect those people from infection. We predict mortality in a very large population in Mexico with machine learning using demographic variables and pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Liao, Lauren D, Hubbard, Alan E, Gutierrez, Juan Pablo, Juárez-Flores, Arturo, Kikkawa, Kendall, Gupta, Ronit, Yarmolich, Yana, de Jesús Ascencio-Montiel, Iván, Bertozzi, Stefano M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533798/
https://www.ncbi.nlm.nih.gov/pubmed/37739469
http://dx.doi.org/10.1136/bmjopen-2023-072436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533798/
https://www.ncbi.nlm.nih.gov/pubmed/37739469
http://dx.doi.org/10.1136/bmjopen-2023-072436

Ejemplares similares