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Pronóstico jerárquico de casos de COVID-19 en África utilizando modelos de aprendizaje automático
Claris Shoko1, Caston Sigauke2, Katleho Makatjane3
1Department of Statistics, University of Botswana, Gaborone, Botswana.
Frontiers in epidemiology
|February 27, 2026
Resumen
Este estudio presenta un enfoque de aprendizaje automático para el pronóstico jerárquico de series temporales de casos de COVID-19 en África. El modelo mejorado, que combina XGBoost y random forest, mejoró significativamente la precisión del pronóstico, superando a los métodos convencionales.
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