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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...
Autores principales: | Rojas-García, Mariano, Vázquez, Blanca, Torres-Poveda, Kirvis, Madrid-Marina, Vicente |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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