Abstract Machine learning algorithms play a vital role in the prediction of an outbreak of
diseases based on climate change. Dengue outbreak is caused by improper maintenance of …

This article describes how Dengue fever is a fatal and hazardous disease resulting from the
bite of several species of the female mosquito (principally, Aedesaegypti). Symptoms of the …

Disease surveillance is essential not only for the prior detection of outbreaks, but also for
monitoring trends of the disease in the long run. In this paper, we aim to build a tactical …

Dengue is an epidemic-disease by mosquito-borne virus that spreads easily in
geographically affected areas. Dengue outbreak management system has increasingly …

Epidemiological models that aim for a high degree of biological realism by simulating every
individual in a population are unavoidably complex, with many free parameters, which …

Epidemiological early warning systems for dengue fever rely on up-to-date epidemiological
data to forecast future incidence. However, epidemiological data typically requires time to be …

Classification schemes have been applied in the medical arena to explore patients' data and
extract a predictive model. This model helps doctors to improve their prognosis, diagnosis …

Considering the sustained increase of dengue outbreaks in Latin America in recent years,
this study proposes the use of machine learning (ML) tools with epidemiological data …

By analyzing microblog texts, a visual early warning research of college net loans is
conducted in this paper to effectively reduce the negative impact of illegal Internet loans …

In this study, we investigate the use of prediction modeling to build an early warning system
to identify students who are at risk of interacting with the criminal justice system in the future …