dengue

Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.

Advanced Early Dengue Prediction and Exploration Service

Projeto de sistema e serviços para monitoramento de doenças tropicais e geração de indicadores de possíveis epidemias.

Plataforma que utiliza Inteligência Artificial para monitorar e prever surtos de dengue, combinando detecção de focos e previsão epidemiológica. - TCC 2025

Arbovirus and dengue data from Puerto Rico

Prediction of future cases of Dengue using Machine Learning.

Scripts y datasets para analizar la incidencia de dengue en México utilizando los datos abiertos de la Secretaría de Salud

Data analysis pipeline for the Dengue Advanced Readiness Tools (DART) project

Machine learning against arbovirus

This repository includes the codes and data used in the study: "Spatio-temporal clusters and patterns of spread of dengue, chikungunya, and Zika in Colombia", by Laís Picinini Freitas, Mabel Carabali, Mengru Yuan, Gloria I. Jaramillo-Ramirez, Cesar Garcia Balaguera, Berta N. Restrepo, and Kate Zinszer.

Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data

A project to predict new repurposed drugs for dengue using a biomedical knowledge graph and graph neural networks.

To know more about our research, please read our journal through the given link.

Dengue severity prediction using machine learning.

台灣登革熱地圖

Machine Learning Techniques Subject

Reproducible national analysis of dengue surveillance in Bangladesh, 2018–2025.

The denguedasets package provide a curated collection of open-access dengue fever surveillance and climate datasets for epidemiological research and machine learning. Includes surveillance records, climatic co-variates, and mortality indicators from Bangladesh, the Philippines, Taiwan, Sri Lanka, Brazil, Colombia, Pakistan, India, Peru, Indonesia,