Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.
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Updated
Jul 9, 2018 - Python
Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.
Projeto de sistema e serviços para monitoramento de doenças tropicais e geração de indicadores de possíveis epidemias.
Advanced Early Dengue Prediction and Exploration Service
Prediction of future cases of Dengue using Machine Learning.
Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data
Dengue severity prediction using machine learning.
Machine Learning Techniques Subject
Machine learning against arbovirus
En este repositorio comparto para toda la comunidad mis proyectos de Ciencia de Datos desarrollados en Acámica, como requisito para obtener la certificación.
DengueLytics is an application that keeps track of Patients with Dengue. It serves as a first-hand diagnosis tool for detecting diseases through PriAid API, a data aggregation tool, including weather, geolocation etc.
R script used for the paper "Space-time dynamics of a triple epidemic: dengue, chikungunya and Zika clusters in the city of Rio de Janeiro", by Laís P. Freitas, Oswaldo G. Cruz, Rachel Lowe and Marilia S. Carvalho.
Arbovirus and dengue data from Puerto Rico
A time series forecasting model predicting the number of dengue cases by region in Singapore.
Repository contains information on the mass spectrometry data in TMEM41B and VMP1 KO cells
Procesamiento y análisis de los datos comprendidos en la simulación del dengue a lo largo de un año.
Python package to optimize mosquito traps' positioning in field trials.
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