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A reproducible ensemble machine learning approach to forecast dengue outbreaks
Dengue fever, a prevalent and rapidly spreading arboviral disease, poses substantial public
health and economic challenges in tropical and sub-tropical regions worldwide. Predicting …
health and economic challenges in tropical and sub-tropical regions worldwide. Predicting …
[HTML][HTML] Una revisión sistemática de Modelos de clasificación de dengue utilizando machine learning
El dengue es una enfermedad arboviral que anualmente reporta un gran número de
infectados en la costa norte y la selva peruana. Según las estadísticas, está aumentando …
infectados en la costa norte y la selva peruana. Según las estadísticas, está aumentando …
[PDF][PDF] Machine learning approaches for dengue prediction: A review of algorithms and applications
Z Hussain, IA Khan, M Hassan - Pak. Geogr. Rev., 2023 - pu.edu.pk
Dengue disease positions a significant global public health challenge, warranting attention
from local health authorities and the international community. The escalating number of …
from local health authorities and the international community. The escalating number of …
Analysis of the correlation between climatic variables and Dengue cases in the city of Alagoinhas/BA
The Aedes aegypti mosquito is the main vector of dengue and is a synanthropic insect and
due to its anthropophilic nature, it has specific reproductive needs. In addition to that, it also …
due to its anthropophilic nature, it has specific reproductive needs. In addition to that, it also …
A transfer learning-based multivariate control chart for dengue surveillance in Hong Kong
Z Wang, IM Zwetsloot - IEEE Access, 2023 - ieeexplore.ieee.org
Dengue is a severe mosquito-borne epidemic disease. There is no effective vaccine for
dengue, so a real-time surveillance system becomes crucial to detect dengue outbreaks …
dengue, so a real-time surveillance system becomes crucial to detect dengue outbreaks …
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
This research proposes a 'temporal attention'addition for long-short term memory (LSTM)
models for dengue prediction. The number of monthly dengue cases was collected for each …
models for dengue prediction. The number of monthly dengue cases was collected for each …
Predicting Dengue Outbreak based on Meteorological Data Using Artificial Neural Network and Decision Tree Models
Dengue fever is well-known as a potentially fatal disease, and the number of cases in some
areas remains uncontrolled. Despite efforts to prevent the dengue outbreak from spreading …
areas remains uncontrolled. Despite efforts to prevent the dengue outbreak from spreading …
Ensemble Approaches for Robust and Generalizable Short-Term Forecasts of Dengue Fever. A retrospective and prospective evaluation study in over 180 locations …
Dengue fever, a tropical vector-borne disease, is a leading cause of hospitalization and
death in many parts of the world, especially in Asia and Latin America. In places where …
death in many parts of the world, especially in Asia and Latin America. In places where …
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 …
diagnosis is essential to avoid its severe impacts. This paper seeks to compare classical …
[PDF][PDF] A Machine Learning Tool with An Integrated Dataset Towards the Construction of An Early Warning System for Dengue in Zulia State, Venezuela
M Cabrera, J Naranjo-Torres, Á Cabrera, L Zambrano… - 2024 - preprints.org
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 …
this study proposes the use of machine learning (ML) tools with epidemiological data …