Ponente
Roberto Kraenkel
(Instituto de Física Teórica da UNESP)
Descripción
In this talk I will present results about dengue epidemics in Brazil which use machine learning techniques.
First, I will show how to use ML to distinguish between chikungunya and dengue cases from public health data and propose a correction of dengue/chikungugya case count.
Second, we to discuss drivers of dengue epidemics using Convergent Croos Mapping associated with ML to establish the main drivers os dengue in the context of Brazil.
Autor
Roberto Kraenkel
(Instituto de Física Teórica da UNESP)