Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach

BACKGROUND: Mexico ranks fifth worldwide in the number of deaths due to COVID-19. Identifying risk markers through easily accessible clinical data could help in the initial triage of COVID-19 patients and anticipate a fatal outcome, especially in the most socioeconomically disadvantaged regions. Thi...

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Detalles Bibliográficos
Autores principales: Rojas-García, Mariano, Vázquez, Blanca, Torres-Poveda, Kirvis, Madrid-Marina, Vicente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832420/
https://www.ncbi.nlm.nih.gov/pubmed/36631853
http://dx.doi.org/10.1186/s12879-022-07951-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832420/
https://www.ncbi.nlm.nih.gov/pubmed/36631853
http://dx.doi.org/10.1186/s12879-022-07951-w

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