Portal de dados do Projeto Alerta Dengue

Predicting weekly dengue cases for Iquitos and San Juan using Machine Learning algorithms

Server of Dengue LineBot

Capstone Project for the Machine Learning Engineer Nanodegree Program | DengAI: Predicting Disease Spread

Machine Learning Techniques Subject

Model development for understanding the relationship between photoplethysmography (PPG) waveforms and physiological parameters of Dengue patients.

Linebot for reporting dengue fever

Python SIR / SIR-VETOR / Endemic / Dengue algorithm

The linear regression models are developed as part of final report of "Advanced Analytics" module at University of Derby.

This repository contains the notebook used for the Spring 2021 Kaggle Dengue Fever Prediction Competition. Placement was in the top 10% with a MAE of 24.86. Our best approach involved Random Forest Regression on a reduced featureset selected with Recursive Feature Elimination in combination with correlation with the target (number of dengue cases).

Dengue Fever Prediction Competition from www.datadriven.com

Monte Carlo Simulation of Agent-Based Model

The Dengue fever prediction challenge from Driven Data

Implementation of Dengue and Malaria predictive analysis paper

Country likelihood of having dengue fever cases.

Analysis of the number of dengue fever cases

DeepDengue is a collection of deep learning models trained for the estimation of dengue fever cases in geographic locations, using only street-level and aerial images as input.