DÃaz-González, L.; Toribio-Colin, Y.S.; Pérez-Sansalvador, J.C.; Lakouari, N.
Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach Using Clinical, Socioeconomic, and Environmental Data. Mach. Learn. Knowl. Extr. 2025, 7, 55.
https://doi.org/10.3390/make7020055
AMA Style
DÃaz-González L, Toribio-Colin YS, Pérez-Sansalvador JC, Lakouari N.
Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach Using Clinical, Socioeconomic, and Environmental Data. Machine Learning and Knowledge Extraction. 2025; 7(2):55.
https://doi.org/10.3390/make7020055
Chicago/Turabian Style
DÃaz-González, Lorena, Yael Sharim Toribio-Colin, Julio César Pérez-Sansalvador, and Noureddine Lakouari.
2025. "Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach Using Clinical, Socioeconomic, and Environmental Data" Machine Learning and Knowledge Extraction 7, no. 2: 55.
https://doi.org/10.3390/make7020055
APA Style
DÃaz-González, L., Toribio-Colin, Y. S., Pérez-Sansalvador, J. C., & Lakouari, N.
(2025). Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach Using Clinical, Socioeconomic, and Environmental Data. Machine Learning and Knowledge Extraction, 7(2), 55.
https://doi.org/10.3390/make7020055