Comparison of classical machine learning and ensemble techniques in the context of dengue severity prediction

Dengue disease, spread by mosquitoes, affects a large part of the world's population. Early diagnosis is essential to avoid its severe impacts. This paper seeks to compare classical machine learning techniques with ensemble approaches in the early classification of dengue: Dengue without alarm...

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Autores:: ARRUBLA HOYOS, WILSON DE JESÚS
Severiche Maury, Zurisaddai de la Cruz
Saeed, Khalid
Gómez Gómez, Jorge Eliecer
De-La-Hoz-Franco, Emiro

Tipo de recurso:: Part of book

Fecha de publicación:: 2024

Institución:: Corporación Universidad de la Costa

Repositorio:: REDICUC - Repositorio CUC

Idioma:: eng