Assessing the Nationwide COVID-19 Risk in Mexico through the Lens of Comorbidity by an XGBoost-Based Logistic Regression Model

The outbreak of the new COVID-19 disease is a serious health problem that has affected a large part of the world population, especially older adults and people who suffer from a previous comorbidity. In this work, we proposed a classifier model that allows for deciding whether or not a patient might...

Descripción completa

Detalles Bibliográficos
Autores principales: Venancio-Guzmán, Sonia, Aguirre-Salado, Alejandro Ivan, Soubervielle-Montalvo, Carlos, Jiménez-Hernández, José del Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565716/
https://www.ncbi.nlm.nih.gov/pubmed/36231290
http://dx.doi.org/10.3390/ijerph191911992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565716/
https://www.ncbi.nlm.nih.gov/pubmed/36231290
http://dx.doi.org/10.3390/ijerph191911992

Ejemplares similares